Current sonar time-bearing displays show a significant detection performance degradation attributed to their normalization processing. this degradation is caused by the inability of normalization algorithms in current operational sonar systems to simultaneously achieve nearly optimal normalization… More

The expert system developed under this effort will demonstrate the capability to use tactical decision, aids, expert rules, static and real time environmental data, acoustic models, and a multi-target tracker to determine optimum under sea warfare tactics for sensor placement and orientation.… More

A mast/periscope moving through the sea surface causes significant distrubance to the air-water interface, entrains air bubbles and creates surface bubbles and foam (white water). the naturally produced surface-active substances in sea water stabilize these bubbles and foams and render the… More

Guidance or navigation laws for anti-torpedo weapons must be effective against highly maneuverable targets. classical guidance laws, such as proportional navigation, do not satisfy this criterion since their design is based on the assumption of a nonmaneuvering target. guidance laws based on… More

Military leaders must formulate optimal acquisition strategies that best use the available resources to comply with the warfare strategies developed by planners and practioners. the navy approaches this in a logical top-down manner, developing top level warfare requirements (tlwrs), and required… More

The objective of this task is to develop a communications networking concept to support the current and future communications needs of the integrated undersea surveillance system (iuss). the network must be capable of supporting iuss communications needs during any phase of hostility, from peace to… More

Timely identification, classification, and track association of infrequent active and passive sonar detections continue to impact on the ability of asw mission commanders to rapidly correlate and convert such detections into positional estimates for contacts of interest. continused advances in the… More

An important problem in target tracking and surveillance is the task of fusing acoustic measurement data from multiple sensors into a single target report. data from the different sensors should be associated so that observations of the same target from different sensors are grouped together, while… More

Evolutionary programming will be investigated as a means for optimizing an asat battle management scenario. evoluationary programming is a stochastic process, simulating darwinian evolution for the purpose of discovering the most appropriate logic for solving the problem as posed. relatively few… More

Total platform sensor data fusion concepts can yield performance gains to shipboard air defense systems that mitigate the performance enhancements for existing and projected anti-ship missile and aircraft threats. the performance gains in fusion are in its ability to provide a concise, accurate, and… More

The navy has a continuing need for improved computer-interface designs that simplify operator tasks and reduce training requirements for supporting the operation of advanced computer-based display systems. recently, progress has been made in non-military applications of touch sensitivity screens and… More

The general problem addressed in contact management is the estimation of the states of multiple targets in a multiple sensor environment. the characteristics of the problem place the requirements that the contact management algorithm must be robust and highly automated, but still allow the operator… More

The development of algorithms for the timely passive detection and classification of torpedoes using their acoustic radiated signatures is a high priority of both the surface ship and submarine torpedo-defense programs. in the last several years, 0rinc0n has employed neural network technology in the… More

New technology active sonars are developing rapidly in their ability to detect, classify, and track submarines. the navy has identifiedthese sonars as a threat to the us submarine fleet and desires innovative techniques to counter this threat. innovative countermeasures will attack the threat at… More

Timely detection, classification, and tracking of torpedo signatures are of high interest to both surface and subsurface ship defense system programs. the majority of the work completed to date has focused on the exploitation of the threat submarine acoustic energy envelope. the purpose of this… More

Orincon proposes to develop a data fusion and multiple target tracking capability using data from multiple sensors for midcourse guidanceof a high-performance homing missile. the proposed multiple targettracker will include algorithms to perform the measurement/track association process, based on… More

Evolving neural network technology has the potential to provide the rapid information reduction and assessment that will be required for new generation command and control systems. in comparison with other types of classification and decision algorithms, neural networks are robust and depend only… More

A problem of interest to the u.s. navy is the development of signal processing techniques to detect and classify threat sources of short-duration, acoustic transient events in underwater acoustic data. the problem is very difficult because (1) every threat source has many classes of associated… More

Caution of faults in mechanical systems such as the gear boxes and bearings onboard helicopters and ships. Current problem solutions use relatively simple metrics to characterize changes in recorded data. The approaches are model-based and of limited utility. In many cases, the interaction of fault… More

1With the advent of bistatic and multistatic active sonar systems, innovative techniques are required to maintain association of acquired and reacquired contacts. Contact association and data fusion will address three issues. The first issue concerns processing on a single receive platform, where… More

Time-frequency representations of acoustic transient events are often required in order to distinguish subtle localized time and frequency features in the transient signal that can be missed by classical short-time fourier transform analysis. two timefrequency representations appropriate for this… More

Charge exchange recombination (cer) spectra provide a measurement of ion temperatures in tokamak experiments, but the availability of results is severely affected by the analytical computation time. this project applies digital signal processing techniques to this problem and ultimately could… More

Air defense Systems of distributed ground and airborne tracking radars are beset with problems when fusing track data at a central command site. This occurs when one or more of the tracking radars produces a track scene with component track offsets (or biases) from the true target location by a… More

The U.S. Navy requires a tactical decision aid to integrate information from IUSS with information from tactical forces. This system must include resource allocation/optimization, communications management, all-source data fusion battle management, advanced graphics, and a tactical metric. Some of… More

ORINCON proposes to develop an Adaptive Neural Controller (ANC) based on the extended Kalman filter (EKF) principle, which requires neither the controlled process (or plant) nor the controll to have fixed, parameterized structures, as a superior method of performing identification of flexible… More

Ae the inventory of U S ASW platforms continues to decrease the task confronted is increasingly difficult More eapable submerines are employed by putential adversaries located in difficult acoustic environments U S ASW platforme employ suites of sophisticated sensors to handle this growing problem… More

Three signal processing approaches are proposed here to better exploit the SAR/ISAR signal differences between sea surface noise clutter/speckle and periscope/other small manmade target signatures that have been used in previous algorithms. A special high-resolution, two-dimensional (2-D) spectral… More

The ASW threat in the current, post-cold-war environment is the slow-moving, low-target strength, quiet diesel submarine. The shallow water environments they typically operate in make the task of detection even more difficult. These conditions will require the use of an active sonar with a… More

Our goal is to develop new tools and techniques for biological sequence analysis based on the application of several promising new signal processing technologies. In particular, we hope to develop faster, more accurate, and more robust methods for biological sequence comparison, more compact… More

A signal decomposition approach based on complex exponential modeling of the signal in noise is proosed here for use with the automatic target recognition (atr) problem. such an approach has been used very successfully to recognize nonstationary signals from underwater acoustic sensors and from… More

Graphical depiction would be a more useful and easily comprehended method of verifying real-time software performance than methods currently in use. It could be applied across a wider range of applications to increase real-time software reliability and decrease development costs. ORINCON proposes an… More

Intruder detection using a mobile platform with multiple sensor suites is difficult because of the ever-changing warehouse environments in which the robots operate. Doppler shifts caused by platform motion or intruder motion also add to the problem. ORINCON proposes a novel approach to intruder… More

Accurate, uniform volumetric measurements of brain structures are of great importance tomorphological studies of the brain in mental health, disease, and developmental research. Automatedmeasurement methods will improve the consistency, accuracy, and availability of such estimates, andwill allow… More

Disruptions (sudden losses of plasma energy to the surrounding structure) degrade operating conditions and must be avoided in future large tokamaks. it is planned to study the feasibility of a disruption alarm system that would allow control measures to be invoked before a disruption occurs. in… More

ORINCON proposes a fast-turnaround, high-payoff solution to the design and implementation of a Image Understanding Algorithm Development Environment (IUADE)f for Hybrid Neural Network/Digital Computer (HNNDC) architecture systems (e.g., per companion topic ARPA 94-080). Our Phase I effort will… More

This work seeks to develop a systematic approach to closed-loop MIMO structural realization that incorporates the Eigensystem Realization Algorithm developed by Juang and Pappa [Juang and Pappa, 1985]. Measurement data is transformed into the frequency domain for multiple time vector lengths and… More

Advanced computer-aided techniques to determine vehicle class and speed are required for advanced intelligent vehicle highway system's applicaitons. orincon is proposing to develop a novel system architecture using digital signal processing (dsp) algorithms in conjunction with a neural network… More

The artificial neural network (ann) has been used with varying degrees of success in the feedback loop to provide the necessary control for nonlinear or uncertain systems. recently, research has been done to train a neuro-controller, as well as a neuro-observer, using a relatively new extended… More

Both the bat and the dolphin use high frequency sonar to locate prey. Although these systems are radically different, both require the reception and processing of short duration signals. In recent years, understanding of both the bat and dolphin sonar systems has increased dramatically through the… More

The Electroencephalogram (EEG) uses a multi-electrode array to measure electrical potentials related to brain activity. It is a low cost non-intrusive technique with diagnostic application to many situations including: battle fatigue, stress, head injury, epilepsy, and sleep disorders. The primary… More

Changing geopolitical situations add complexity to the ASW task faced by the Navy. Capable submarines are employed by potential adversaries located in difficult acoustic conditions. ASW is turning to active sonar systems to meet the requirements against these targets. Often, multiple active sonars… More

If used long enough, any mechanical or electronic device will fail at some point - friction and heat guarantee it. Determining the fatique life of various components on complex platform such as as a helicopter has great operational significance. OINCON will utilize recurrent neural networks to model… More

For several decades, the U.S. Navy hasmaintained the Integrated Undersea Surveillance System (IUSS) to detect and locate targets of specific interest. Identification of IUSS acoustic signals required highly trained specialists to perform in-depth analysis of data having high levels of background… More

In analysis of basebanded Doppler radar signals, it has been noted that trained operators can classify target types by aural analysis of the baseband signals. This implies that there is sufficient structure in the signal so that automated analysis using speech processing techniques can perform… More

The mission of passive undersea surveillance is to classify potential threats by examining the acoustic signatures of detected sources. Current methods are based on visual examination and operator translation of the acoustic scene. With the ongoing reduction in Navy personnel, an automated system… More

High speed, low cost, light weight, and reliable systems that can significantly improve performance are sought for the next generation of military communications systems. The recent advent of broadband communication services has dramatically increased this demand. The opportunity exists to merge two… More

The impending failure of a machine can be predicted by condition-monitoring to detect precursors to failure. When a failure precursor is detected, actions to prevent or delay that failure can be taken. Acoustic Emission Sensors (AES) have been successfully used in condition-monitoring applications.… More

A compact device is needed to generate planar acoustic waves over a symmetrically dimensioned volume of approximately one cubic meter in the frequency range 60 Hz to 5 kHz. This normally requires an anechoic chamber or other environment that results in acceptably low acoustic reflection or… More

The impending failure of a machine can be predicted by condition monitoring to detect precursors to failure. When a failure precursor is detected, actions to prevent or delay that failure can be taken. Acoustic Emission Sensors (AESs) have been successfully used in condition-monitoring… More

ORINCON proposes to investigate real-time pattern recognition techniques that exploit the multiresolution properties of the discrete wavelet transform (DWT). We will process one-dimensional acoustic signals and two-dimensional visual and thermal images of vehicles provided by the Army to generate… More

Active sonar-based target classification of submarines, minisubmarines, mines, and swimmers is very important in littoral warfare. Current active sonar systems are inadequate because they require many emissions per potential target, yield high false alarm rates, and suffer from high clutter… More

During present clay mine search operations, targets are detected acoustically using active sonar and identified by analysis of video-based images. Recognition and classification of mine-like targets in highly cluttered environments are difficult tasks even when using today's most technologically… More

ORINCON proposes to develop a multiple-sensor fusion system to locate bulk subsurface contaminants. Typical contaminats are comprised of fuels and chlorinated solvents that lie on top (LNAPL) or bottom (DNAPL) of an aquifer, and slowly diffuse into groundwater. The use of a particular geophysical… More

The brain is at risk of serious cerebrovascular insult during the 350,000 cardiopulmonary bypass superformed annually in the USA. There is strong clinical evidence that over two-thirds of the patientneuropsychologic postoperative deficits caused by emboli passing to the brain during surgery.… More

Electrophoresis can resolve thousands of proteins, but analysis of such data is extremely difficult. Automated methods for detection and recognition of proteins on two-dimensional (2D) electrophoretograms are needed. Image processing techniques and expert systems have been tried, but these are… More

In this SBIR effort, ORINCON is proposing application of innovative fusion concepts to a mission of interest. In particular, we are addressing the JOINT STARS mission that exploits integration of off-board sources such as unmanned serial vehicles (UAVs), airborne warning and control systems… More

Adaptive beamforming can provide significant improvements in the active and passive performance of sonobuoy arrays. The algorithm must have the following properties: robust, rapidly convergent, providing increased low frequency array gain, providing effective nulling of interference, and be… More

The use of imagery in military and civilian applications has expanded greatly in recent years. This growth has been driven primarily by the digital revolution in microelectronics, which has provided the signal processing, memory storage, and communications technology that make the wider use of… More

Recognition of minw-like targets using an autonomous underwater vehicle (AUV) is a difficult task due to algorithm complexity and data volume. Presently, much of the video data gathered in the field has to be processed Off-line. Computer system that can perform billions of floating point operations… More

Several nonintrusive methods exist to detect faults, such as delaminations, broken leads, traces, and solder joints, and popcorn cracks on circuit cards and integrated circuits (IC). Ultrasonic scanning is widely utilized by IC manufacturers for this purpose. However, these failure analysis… More

Due to the harsh underwater acoustic and surface search radar conditions in shallow littoral ocean areas, performance in detection, classification, and tracking of submarine targets is degraded by excessive clutter. Success against these targets necessitates data fusion and tracking of… More

Today's sensor data fusion approaches typically use some form of an extended Kalman filter to fuse the data. A basic assumption is that the sensor data is contaminated by additive white noise disturbances. This is far from being true with some of today's sensors - considering their operation… More

All modern military and commercial organization rely heavily upon information stored on internetted computers. In the commercial world, protection of this information from electronic espionage has become essential. In the military environment, information defense, exploitation, and attach… More

With their proven performance, reliability, and low cost, inductive loop sensors are widely employed in traffic monitoring and control. However, the presently used preformed loops suffer from frequent breakage induced by traffic or repaving operations - a need exists to develop a preformed… More

A problem of current interest to the Air Force is the automatic analysis, detection, and classification of potential critical component failures in rotating machinery. Current processing for health monitoring of parts uses relatively simple metrics or features to measure and characterize changes in… More

Recent cutbacks in military manpower and equipment have necessitated the ability of various platforms to intercommunicate vital targeting and classification information. Many of these platforms to intercommunicate vital targeting and classification information. Many of these platforms use… More

Success against targets in future regional conflicts necessitates data fusion, tracking, and management of multi-sensor data from organic, theater, national, and non-traditional sensors. In this Phase I effort, ORINCON will investigate and identify integrated algorithms that can direct assets based… More

The fundamental issue for automatic battle damage assessment (BDA) is to detect scene change. Two- dimensional (2D) image registration schemes and three-dimensional (3D) scene modeling provide two alternate approaches. While the former approach deals directly with raw image data that is affected… More

All modern military and commercial organizations rely heavily upon information processed with networked computers. In the commercial world, protection of this information from electronic espionage has become essential. In the military environment, information defense, exploitation, and attack… More

The goal of the proposed research is to develop robust automated detection and classification of acoustic emissions from ground vehicles. These detection algorithms will apply novel signal processing algorithms to the unique features of ground vehicles. Ground vehicles have complex, highly… More

Traditional active acoustic processing in a cluttered environment seeks to suppress or remove clutter in order to increase the signal-to-noise ratio of the signal passed to the operator. Typically, clutter removal is accomplished either by averaging and thresholding to remove low-level peaks in… More

The capability of combat systems in littoral warfare is decreased by conflicting data. ORINCON proposes a solution that integrates on- and offboard sensors to provide a better understanding of the situation. In particular, we are proposing a solution for the anti-air warfare mission. ORINCON… More

Under this SBIR project, ORINCON proposes to develop and demonstrate algorithms to perform automated detection and classification of cavitational signatures. Several detection and classification algorithms will be used to ¿decompose¿ broadband energy envelopes. Selected regions of the… More

A problem of current interest to the Air Force is the automatic classification of potential critical component failures in machinery and structural parts. Current processing for health monitoring uses relatively simple metrics or features to measure and characterize changes in sensor data. An… More

The high ambient noise levels perceived by tactical aircraft flight crews adversely affect their ability to understand desired audio information and warnings, and contribute significantly to overall stress levels. Noise reduction systems are needed that will alleviate the stress-producing ambient… More

ORINCON proposes to investigate the application of the wavelet transform, fractal analysis, and statistical measures of texture to automatic target identification (ATI) for laser radar (ladar). We intend to use multiscale edge analysis (MEA) based on the wavelet transform to decompose a ladar… More

Although construction and entrances of deeply buried underground facilities (UGFs) may be detected by remote surveillance assets available to U.S. forces, detailed internal characterization and 24-hour monitoring of denied access facilities cannot be accomplished by current remote sensors and has… More

Two types of neural network architectures are proposed for the integration of the acousto-optical (AO) system with the standard electronic warfare (EW) discriminants, rather than just one, as suggested by the topic narrative. A hierarchical neural network is proposed for use in the first stage of… More

Current methods for automated situation awareness and assessment are inadequate to provide a timely view of the situation. This deficiency is due to the flood of intelligence data, the incompleteness and contradictions in the data, and the difficulty in drawing conclusions about the situation. In… More

ORINCON proposes to investigate the application of the wavelet transform, fractal analysis, and statistical measures of texture to automatic target identification (ATI) for laser radar (ladar). We intend to use multiscale edge analysis (MEA) based on the wavelet transform to decompose a ladar… More

The brain is at risk of serious cerebrovascular insult during the 350,000 cardiopulmonary bypass superformed annually in the USA. There is strong clinical evidence that over two-thirds of the patientneuropsychologic postoperative deficits caused by emboli passing to the brain during surgery.… More

Under this SBIR program, ORINCON proposes to demonstrate algorithms to perform detection, localization, and tracking of targets in shallow-water scenarios where the primary measurements available are bearing (time difference of arrival at two phase centers) versus time. The approach used is… More

The failure of machine components is expected but difficult to predict. Worst-case turbine engine inspection and maintenance procedures are very expensive, and all parts of a given type must be replaced after a fixed number of hours, regardless of the fatigue and wear that they have experienced. A… More

The recent explosion in satellite communications has propelled a concurrent effort in flexible satellite communications systems architectural design. Satellite constraints and other pressures have led developers to seek new architectures for more robust application-specific adaptive signal… More

This effort advances agent reliability by addressing the problem of information security (confidentiality, integrity, and availability) in multi-agent systems. ORINCON proposes to demonstrate new technologies that are widely applicable and independent of particular agent control strategies. Our… More

Recently available commercial digital chip technology makes it possible to offer NRL a digital fine frequency measurement (FFM) spectral analyzer design based on the fast Fourier transform (FFT) that meets or exceeds the measurement specifications posed by this SBIR topic. A VME card-based… More

The failure of machine components is expected but difficult to predict. The worst-case maintenance procedures are very expensive, as all parts of a given type must be replaced after a fixed number of hours, regardless of the fatigue and wear that they have experienced. A less restrictive… More

The ORINCON team's proposed research and development addresses the application of adaptive data fusion to the surveillance problem of high-density targets in a cluttered environment; our effort focuses on robust data fusion for surveillance through algorithmic adaptation. Our overall goals are to… More

Vibration data collectors used for condition-based maintenance (CBM) programs are becoming standard practice in Navy and private industry. Current systems in use are based on proprietary hardware and software architectures. These proprietary systems are expensive to procure and support and are… More

Not Available BMDO has a continuing need for advanced propulsion technologies for both TMD and NMD applications. A particularly critical requirement is for rocket propellants with higher performance than state-of-the-art materials. The ability to intercept ballistic or tactical missiles puts a… More

Not Available Future chip and board level electronics or optoelectronics will require innovative heat removal solutions to enable them to meet size, weight, power, high reliability, and low cost. Commonly, these approaches are based on efficient 2-D and 3-D arrangements of electronics, often… More

Not Available "Under this Phase I SBIR program, ORINCON proposes to develop and demonstrate digital signal processing (DSP) algorithms to provide substantial improvements in the identification and quantification of chemical compounds using Fourier Transform Infrared (FTIR) Spectroscopy. The… More

Not Available The development of modern weapon systems requires complex dynamic subsystems that must be coherently developed and integrated. Today technology systems tend to be developed at a technology development facility, tested in collocated test bed facilities, and then flight tested or… More

Not Available The continued use of Commercial Off-the Shelf (COTS) hardware and software in Navy systems can cause substantial integration issues when these COTS products are upgraded. Recent technologies, such as the Java programming language, have made great strides toward painless incremental… More

Deployable Autonomous Distributed System (DADS) is a programestablished by the Office of Naval Research (ONR) to demonstratethe ability to conduct effective antisubmarine warfare (ASW) inthe littoral using a field of low-cost autonomous sensors.In a DADS field, individual sensor nodes operate… More

The U.S. Navy designed high-power active sonars like the Low Frequency Active (LFA) system to counter quiet submarines. High-power transmissions from mid- and low-frequency sonars are known to cause trauma for human divers. To comply with the MarineMammal Protection Act and the LFA Environmental… More

End-to-end targeting systems for littoral warfighting require effective decision support from maritime intelligence, surveillance, and reconnaissance (ISR) assets. Novel data fusion engines can effectively correlate, fuse, and track contacts and targets ofinterest, offering high-payoff, automated… More

The proposed effort will address fundamental issues in the research and development of Level 2 fusion, namely, development of a solid mathematical foundation on which to build algorithms for situation refinement that includes organization and structure.We believe that the fundamental approach to… More

A surveillance system needs to accurately locate and identify not only single targets, but also groups of targets engaged in a common activity. Existing tracking systems are capable of tracking individual targets quite accurately; however, they fail to useinformation related to group behavior in… More

A surveillance system needs to accurately locate and identify not only single targets, but also groups of targets engaged in a common activity. Existing tracking systems are capable of tracking individual targets quite accurately; however, they fail to useinformation related to group behavior in… More

Integration of ORINCON's Ground Moving Target Indicator (GMTI) tracking algorithms into a parallel processing software data fusion architecture is proposed. The GMTI tracking algorithms incorporate Variable Structure Interacting Multiple Models (VS-IMM)that enable precision tracking of highly… More

Current Army acoustic ground sensors are able to detect, track, and classify single vehicles but have great difficulty in performing these functions when multiple closely spaced vehicles are involved. However, it is precisely this capability that is ofgreatest interest to field commanders, who want… More

Cost- and time-effective mine countermeasures (MCM) are of great interest to the Navy. The ability to rapidly sweep wide areas and provide accurate threat detection and classification is critical to an effective MCM system. Current biologically basedsystems perform extremely accurate… More

Submarine detection in the littoral environment is a very challenging problem. Acoustic propagation depends critically on complex oceanography and bottom sediment type. The difficulty lies in determining these quantities in a covert manner. We proposethe development of a suite of algorithms that… More

This research is directed toward the Navy's current ASW problem, detecting quiet diesel-electric and air independent propulsion (AIP) submarines in littoral regions where today's systems are ineffective due to interference from many loud moving surfaceships. New algorithms will be developed that… More

"In 1972, Congress enacted the Marine Mammal Protection Act (MMPA). Many, including the U.S. Navy, did not fully comprehend the role this act would have in shaping the U.S. Navy's capacity to employ active sonar systems. In March 2000, an event occurredthat changed the U.S. Navy's use of active… More

ORINCON's proposed effort will address fundamental issues in the research and development of Level 2 fusion, namely, development of a solid mathematical foundation on which to build algorithms for situation refinement that includes organization andstructure. We believe that the fundamental approach… More

"Current radar systems generate enormous volumes of ground moving target indicator (GMTI) data that simply cannot be managed by existing automated systems or human operators. Our Phase II SBIR proposal features an innovative new approach to the GMTI fusionproblem that integrates precision tracking… More

"Cost- and time-effective mine countermeasures have become high priority in today's U.S. Navy. Current system technologies are inadequate for identifying buried mines and ordnance. In Phase I ORINCON and its colleagues developed a unique system designthat fuses acoustic 3-D sediment images and… More

"Rapid, robust, accurate predictions of acoustic performance are asubstantial fleet need. Acoustic sensitivity to environmentalparameters and the difficulty of measuring them pose asignificant problem to acoustic performance prediction. In PhaseI, ORINCON developed the Rapid Geo-acoustic… More

"This proposal focuses on bringing together the NodeStar tracker (developed by METRON) and the Adaptive Sensor Fusion Multihypothesis Tracker (ASF-MHT) (developed by ORINCON) in a way that takes advantage of the best features of each to produce the mosteffective and practical system for data fusion… More

"A crucial problem for tactical active sonars operating in littoral regions is discrimination between returns from targets of interest and those from clutter. A high probability of detection at low false alarm rates is important. Successful development ofnew active information processing methods… More

"Combining S- and X-band radar data provides a means for enhancing radar imagery by joint spatial information fusion of the radar scene for two different radar frequencies, and provides an opportunity for achieving high-resolution ultra-widebanddiscrimination between warheads and decoys. Prior to… More

"Technology is a controlling variable for cost, schedule, and performance design of U.S. ballistic missile defense systems. Target discrimination (the ability to identify or engage any one target when multiple targets are present) during National MissileDefense (NMD) midcourse engagement is a… More

ORINCON has recently been successful with radar signal processing algorithms that extract micro-Doppler signatures from moving ground vehicles that uniquely characterize the vehicle. These algorithms utilize non-Fourier-based high-detail-sharpeningalgorithms to reveal and to enhance the signatures… More

"The identification of dismounted infantry or paramilitary forces from nearby civilians is a task that currently requires direct human intervention to accomplish. With the increasing emphasis on use of UAVs as a force multiplier and the increasing desireto keep vital combat assets out of threat… More

"A major driver in total cost of ownership of Navy's surface combatants is the cost of manning the platforms. Reducing USW manning is an exceptionally difficult area ORINCON is already working under IUSW 21 automation. However, workstation automationaddressed by that program provides no systematic… More

"A crucial factor in sonar design is the benefit available from increased aperture. Current sonobuoys have been constrained to the A-size configuration. Development of the ADAR system has been a significant success in packaging and deployment of such acomplex sensor in the small A-size format. … More

"Ground moving target indicator (GMTI) radar provides continuous wide area surveillance coverage and precision tracking of ground moving vehicles. However, there are multiple scenarios, which can be grouped into loss of data and excessive data problems, inwhich tracks can be broken. Most recent… More

"Circuit board assemblies and onboard microelectronic devices often have physical faults that can cause costly, intermittent electrical failure, or reduce long-term reliability, particularly when subject to environmental stresses. Since the functionaleffect of the fault is sensitive to changes in… More

ORINCON proposes to extend a highly successful knowledge-aided (KA) technique called Matched Terrain Processing (MTP) to enable estimates of overland heights of slow, low-flying airborne targets using signals from a surveillance aircraft radar. Suchsurveillance aircraft typically have antenna… More

Generation of a Capabilities and Limitations document for Battle Force Interoperability is a dynamic ongoing task. This effort will reduce the manpower requirements while increasing the timeliness and comprehensiveness of information extraction andintegration into the document. Additionally, this… More

The Navy's most important current ASW problem is detecting quiet diesel-electric and air-independent propulsion (AIP) submarines in littoral regions where today's systems are ineffective due to interference from many loud moving surface ships. New adaptivealgorithms were developed by ORINCON during… More

ORINCON's Fusion-Generated Target Discrimination effort will develop innovative algorithms for Project Hercules and the Missile Defense Agency (MDA) that address complex NMD technological hurdles in the areas of discrimination, tracking, and decisionsupport. Proven multiple-hypothesis fusion and… More

A crucial factor in sonar design is the benefit available from increased aperture. Current sonobuoys have been constrained to the A-size configuration. Development of the ADAR system has been a significant success in packaging and deployment of such acomplex sensor in the small A-size format. … More

ORINCON has developed a family of predictive propagation environment signal processing techniques under the proprietary umbrella term matched terrain processing (MTP). The MTP techniques are knowledge-aided approaches that exploit new generations ofhigh-spatial-resolution geospatial databases, such… More

Ground moving target indicator (GMTI) radar provides continuous wide area surveillance coverage and precision tracking of ground moving vehicles. However, there are multiple scenarios, which can be grouped into loss of data and excessive data problems, inwhich tracks can be broken. These tracks… More

Kinetic missile interceptors can benefit from an integrated guidance and control law. Even with these benefits, however, variations in the missile dynamics and the ability of a missile to maneuver can still result in failure for this critical mission,even in midcourse interception. ORINCON… More

Crisis responders face challenges that can be reduced by substantially improved monitoring, up-to-date situational awareness, and timely dissemination of data to responders. Information technology advancements will be leveraged to provide COTs drivensolutions that greatly improve the monitoring and… More

A crucial factor in sonar design is the benefit available from increased aperture. Current sonobuoys have been constrained to an A-size configuration. Development of the ADAR sonobuoy has been a significant success in packaging and deployment of such acomplex sensor in the small A-size format. … More

ORINCON and Metron propose to develop an integrated multiple hypothesis nonlinear tracking capability that crosses multiple feature (or attribute) domains while properly representing dependencies between these feature domains and the kinematic domain. Inprevious research, ORINCON and Metron… More

Air ASW search rates are critically dependent upon source-receiver separations, which are in turn driven by acoustic propagation and noise characteristics. To optimize the search rate, an accurate environmental assessment must be performed. The currenttechniques of using monostatic reverberation… More

Technologies for adaptive data fusion, multiple-hypothesis fusion management, and nonlinear tracking have, over the years, matured along separate lines of research and development. In the Phase I effort on N01-133, ORINCON and Metron developed an acoustictracking system architecture that integrates… More

Technologies for adaptive data fusion, multiple-hypothesis fusion management, and nonlinear tracking have, over the years, matured along separate lines of research and development. In the Phase I effort on N01-133, ORINCON and Metron developed an acoustictracking system architecture that integrates… More

Relatively inexpensive human interface peripheral devices/software, such as natural speech recognition software, gesture recognition data gloves, wireless mice, head-mounted displays, and eye tracking systems, are now commercially available. Additionally,there is increasing interest in the… More