The proposed research has the general objective of creating innovative new numerical engineering tools for solving three-dimensional stratified flows containing hydraulic jumps. the proposed numerical technique is based on a multilayer model consisting of n horizontal, homogeneous layers which is… More

The feasibility of using belief functions in dealing with uncertainty in expert systems is examined. the two key areas for proposed research are the propagation of uncertainty and the combination of uncertain information. the proposed research on the propagation of uncertainty willbe based on… More

The proposed research will seek to advance search theory to apply more directly to problems in petroleum exploration.stochastic models will be developed to represent subsurface structures and oil bearing sands. these will be combined in a bayesian framework to allow prior estimates of… More

The objective addressed is to use stochastic process methods to characterize motility of human sperm and thereby to discriminate between fertile and non-fertile donors. a langevin equation is conjectured as a model of sperm motility after local progressivity is subtracted deterministically.… More

This proposal addresses the problem of search planning for asymmetrical detection performance through a generalization of the concept of swept area to a "swept area distribution." in this approach, search effectiveness is not modeled by a single number, swept area, but rather by a distribution that… More

The proposed research consists of a feasibility study and prototype algorithm development for use of two previously untested concepts in navy surface contact data fusion problems. the first concept is negative information, which means accounting for all sensor's detection capabilities and… More

The proposed study is an initial quantitative investigation of the problems and benefits inherent in coordinated cruise missile attacks launched by multiple navy platforms against multiple defenders. this research will identify and bound the system-level constraints for successful coordination,… More

We address the need to integrate attributes into algorithms used to track and correlate target contacts. existing systems are generally based on observations of target kinetics. we propose to develop during phase i an algorithm for correlation and classification of surface contacts in which the… More

The proposed project is to develop a system which will (1) predict the location of enemy surface units based on current tactical data, estimates of probable enemy tactics, and previous unsuccessful search for the unit, and (2) produce recommended search and surveillance plans based on available… More

Advances in signal collection and processing capabilities have placed ever increasing demands on information processing capabilities. increased data rates and sensor capabilities have also increased the importance of correlation techniques. this has led to a proliferation of tracking and correlation… More

Data fustion in the context of multi-target, multi-sensor ocean surveillance is a problem of considerable current interest. the current generation of correlation and tracking algorithms (ctas) generate and process multiple report-to-track correlation hypotheses. the large volume of information… More

The proposed project is to develop a technique which will predict the location of enemy surface units based on current tactical data, estimates of probable enemy tactics, and the "negative information" gained from unsuccessful search for the unit. in addition, we will implement the technique in a… More

Algorithms needed to solve data fustion in the e-3 environment are grouped into five categories for this research. the proposal describes technical approaches in detail for each: (1) tracking; the use of the dual-velocity integrated ornstein-uhlenbeck motion model kaman filter; (2) correlation, the… More

Algorithms for fusing and display of active and passive sensor information in the airborne tactical environment are outlines. fusion and display is partitioned into track extrapolation, observation update, correlation, gridlock, error managment, and user interaction. methods of testing the total… More

A variety of objects are tracked on army test ranges, including: slow-moving ground vehicles, high performance aircraft, missiles, cannon bullets, orbital vehicles and airborne debris. video and radar sensor systems support tracking. accurate, real time tracking is critical in supporting range… More

A novel approach to assessing the performance of combined u.s. naval battle forces is proposed. a model system based upon the analytic hierarchy process (ahp) and the use of pairwise comparison matrices is used to determine the relative value of components of projecting power in the warfare mission… More

An integrated sensor system employing high-precision ultrasound rangefinding instruments combined with a charged-couple device (ccd) video processor can be used to determine the precise position and motion of container shipsbeing loaded at a pier. processing will be carried out by atwelve state… More

A demonstration moored-ship motion determination (msmd) system will be built and tested. the msmd system tracks container cargo ships at pierside, using a pier-mounted sensor suite. an extended kalman filter converts the sensorreadings into a prediction of the position, orientation and motion of the… More

The objective of this program is to design a computer algorithm and prototype implementation to track aircraft in a sparse reporting environment. the probability density function of the observed aircraft will be propagated between arrivals of new target reports bymeans of the numerical solution of a… More

The proposed project is to develop a database management system which will estimate the probable tactics and intentions of an adversary surface, airborne, or submarine target. this system will consist of routines to (1) access a database of potential enemy tactics and intentions, (2) create these… More

The proposed project is to develop a prototype aaw data fusion and command support system (padcs) which will (1) provide a continuous and easily assimilated display of the best information concerning the location and possible intentions of enemy airborne units based on (a) the automatic input of… More

The objective of this proposal is to improve an existing monte carlo tracker that fuses positive nonacoustic data and positive and negative acoustic data, yielding probability distributions for the target location and velocity. five improvements are proposed: 1. incorporate positive and negative… More

A variety of objects are tracked on army test ranges, including: slow-moving ground vehicles, high performance aircraft, missiles, cannon bullets, orbital vehicles and airborne debris. video and radar sensor systems support tracking. accurate, real time tracking is critical in supporting range… More

Many problems in disease remediation, cell biology, evolution, and genetics require complete knowledge of the sequence of amino acids which constitute a particular protein. existing methods of sequencing such as edman degradations require significant amounts of protein material and long periods of… More

To improve automated target tracking and correlation for strategic defense, this proposal models the dynamic behavior of manuevering vehicles by allowing target heading and speed, or their derivatives, to undergo independent diffusion processes. Current methods for surveillance sensors model… More

Dhwa proposes to develop algorithms for long-range, passive target motion analysis (tma). the algorithms will use extended filters similar to those found in current algorithms (jasa, mpkast, and mtst), but will unify and extend these techniques in important ways. we hope to eliminate most of the… More

The proposed project is to develop an information system for processing ecm/esm contact reports on board a navy surface ship. the systemwill combine reports from organic and remote (0th) sensors with other available information and with reasonable assumptions concerning target tactics in order to… More

Operations analysis of naval engagements requires a model for the detection process, and in particular, for passive acoustic sensors. such models depend in turn on having a model for acoustic fluctuations, a term which typically describes all residual uncertainty in the sonar equation components.… More

The research and development proposed here closes the gap on an important area of simulating material behavior. In particular, anisotropic models of the Bauschinger effect have been neglected in the development of hydrocodes for the simulation of viscoplastic behavior, in spite of its important to… More

Current KMR experience is that the complexity and uniqueness of some reentry objects cause atmospheric drag profiles to deviate significantly from model predictions. The possible result is loss of track. As a consequence, there is a need to develop a tracking filter which allows for the accurate… More

This project addresses methods to provide practitioners of mathematical programming with ready access to the advanced linear programming (lp) tools of lagrangean relaxation (lr) and lagrangean decomposition (ld). these tools are used primarily to solve mixed integer programs (mip). these programs… More

The proposed research will develop a requirements document, demonstration system, and (in Phase II) a working prototype for ASIUWTDA. This decision support system will be designed to operate within the JOTS/NTCSA as a fully contained and integrated package. Its menu structure has already been… More

This proposal research will develop algorithms and systems for optimizing the allocation of acoustic surveillance resources. S S will have access to the best acoustic prediction models and data. Settings which provide good performance in one acoustic enviroriment may be subpar in other… More

One of the primary Engagement Planning Processing Suite (EPPS) functions is to develop multisensor threat object tracks based on the local track estimates developed independently by the sensors and communicated to the EPPS nodes. The EPPS distributed system architecture affords a high level of… More

Daniel h. wagner associates, inc. proposes to develop and demonstrate a neural network based algorithm for tracking radar targets in the presence of clutter. the algorithm will closely approximate the tracking performance of a joint probabilistic data association (jpda) filter, but through the use… More

This research and development closes the gap in an important area of simulating material behavior. in particular, anisotropic models of the bauschinger effect have been neglected in the development of codes for simulation of viscoplastic behavior in spite of its importance to forming phenomena. … More

The ultimate goal of this work is to improve the prediction and optimization of the performance of polymer gels in many applications in the agricultural, pharmaceutical, and chemical production and purification industries. these improvements will be brought about by increased understanding of… More

We propose to adapt our proprietary voice authentication system to provide speaker identification functionality. While the authentication system looks for changes in speaker identity after a normal pause in speech, the identificatin system will compare features of speakers' voices with featurs… More

JTIDS/MIDS is a high-speed, secure data and voice link with a TDMA architecure that allows multiple groups to use the link simultaneously with little or no interference. However, eventually the number of simultaneous nets operating in the same time/frequency range reaches a saturation point beyond… More

This work will demonstrate a novel signal processing paradigm for voice authentication. In addition, a statistical analysis technique for the evaluation and improvement of any authentication method will be developed, along with a preliminary database to support the evaluation. This includes a method… More

This proposed Phase I research will prove basic concepts of a Near-Real-Time Data Fusion and Resource Allocation System, called OPEN EYES, which promises significant expansion of the range and effectiveness of today's sensors and weapons. This performance improvement will be achieved by real time… More

Wagner Associates, under a previous SBIR program, succeeded in developing and integrating multi-sensor integration algorithms that solve the problem of combining information from on-board sensors into a single tactical picture for E-3 AWACS. That software was subjected to a thorough test and… More

The fusion of multiple sensor information is crucial to the near- and long-term development of improved automatic target detection and tracking. Recent advances allow analysis of practical sensor suites and more realistic scenarios. Our pattern theoretic approach unifies the traditionally… More

The structured Essential Model for Mine Warfare (SEMMIW) will serve as an analysis tool for resource sponsors and decision-makers to make program decisions in Mine Warfare (MIW) system development. SEMMIW will allow users to determine quantitative requirements for mine countermeasures and mining. … More

We will develop statistical algorithms and software providing automated amino acid sequence determiprotein sequencing by Edman degradation. Studies indicate that automatic interpretation of sequencininadequate. Manual interpretation of sequencing data is time consuming, expensive, and provides no… More

It is proposed to design and build a Tactical Decision Aid for multisource/ multireceiver active sonar systems, as used operationally, and addressing all environmental, tactical and system parameters. These systems and the environment in which they are immersed bring new kinds of complexities that… More

The growing use of DNA sequence data in research, databases, dianostic and therapeutic biotechnology; and even litigation requires that the quality of data being used be objectively assessable. The proposed research addresses the following problems associated with sequence data: the inability to… More

The proposed research project is directed at the problem of reducing communications requirements for Situation Awareness Target location by using an optimal Kalman filter to predict target motion, and only communicating data when the target position differs sufficiently from the position predicted… More

The object of this project is to develop an automatic shipboard container loading system combining a nonlinear automatic crane control with a nonlinear lighter-tracking system. The integrated system will move containers to their destinations quickly and safely, during offshore loading operations. … More

Recent advances in computer recognition of human speech have made it possible to perform reliable recognition of the content (words) in continuous speech, independent of the speaker. Using these new speech recognition tools together with algorithms which allow interpretation of the spoken messages,… More

The goal of this research is to define, design, and develop a prototype Multi-Sensor Fusion and Visualization System for ship self defense, called FIRST LOOK, which promises significant expansion of the range and effectiveness of today's ship sensors and weapons. The main principles involved are… More

The goal of this SBIR project is to increase the effectiveness of Precision Guided Missiles (PGMs) by integrating weather forecasts, aircraft-sensed weather conditions, and weather data from remote sources into the mission planning process. The benefits will be more precise targeting, better … More

The problem of correlating radar tracks with tracks generated by an electronic support system is a long-standing problem of tremendous signficance for the modern Navy. The purpose of the proposed Phase I research is to conduct investigations, determine feasibilities, evaluate alternatives, and… More

The goal of this SBIR project is to increase the effectiveness of Precision Guided Missiles (PGMs) by integrating weather forecasts, aircraft-sensed weather conditions, and weather data from remote sources into the mission planning process. The benefits will be more precise targeting, better … More

Recent advances in computer recognition of human speech have made it possible to perform reliable recognition of the content (words) in continuous speech, independent of the speaker. Using these new speech recognition tools together with algorithms which allow interpretation of the spoken messages,… More

This proposed research draws on classical Bayesian Inference combined with powerful new tools called Quasi-Axiomatic Theorem (QAT) to provide a comprehensive and adaptive situation analysis decision aid. The Bayesian Inference component provides automatic assessment of hypotheses based on the… More

This project will address two, interrelated problems: developing advanced fusion technology, and demonstrating data-fusion's importance to the National and Theater Ballistic Missile Defense (BMD) missions. Using primarily internal funds, we have implemented an experimental version of an innovative… More

This research will focus on improving the situational awareness of AWACS operators to enhance mission performance through the introduction of ation processing techniques that relate contact data to tactical situations described at a… More

Recent advances in computer recognition of human speech have made it possible to perform reliable recognition of the content (words) in continuous speech. We propose to use these technological advancements, together with the expertise we have gained from developing a number of reliable, easy to use… More

Hundreds of satellites will soon be orbiting the Earth forming new global communication networks. Messages will be routed through these networks via intersatellite links and an efficient routing is necessary for high data throughput and low latency. The topologies (connectivity) of these… More

Not Available CTI proposes to extend the agile waveform doublet pulse concept to characterize and improve its performance for measuring micro-doppler motion properties of ground and airborne targets from moving platforms at long range. Rather than focus on developing core hardware technologies,… More

Not Available Development of a stereolithography-based fabrication technique is proposed that will enable lower cost fabrication of complex shaped, high strength rhenium components. In addition, an innovative design approach will be developed that utilizes the capability of stereolithography to… More

Not Available About 30,000 gun plugs are used annually in Navy practice. The materials currently employed to produce these gun plugs are toluene diisocyanate and polyurethane resin. Although these materials meet the functional requirements for gun plugs, they are subsequently incompatible with the… More

Not Available Hydrazine-based fuels and nitrogen tetroxide-based oxidants are commonly used in many missiles, spacecraft and space launch vehicles. These chemicals are extremely toxic and highly energetic, and consequently very hazardous. Currently, water scrubbers are

Daniel H. Wagner Associates, Inc., with Science Applications International Corporation (SAIC) as a subcontractor, will develop an Intelligence, Surveillance and Reconnaissance Tactical Decision Aid (ISRTDA). This system will carry out Level 2 data fusionthat will significantly improve mine warfare… More

Daniel H. Wagner Associates, Inc., with Science Applications International Corporation (SAIC) as a subcontractor, will develop a report containing requirements and a detailed design for a Level 2 data fusion system that will significantly improve minewarfare situational awareness within the maritime… More

Sonar performance is characterized by its ability to distinguish intended targetsfrom background noise. Background noise includes both ambient noise in the oceanand interference from non-target ships. Non-target ships present moving noisesources which are not adequately suppressed by existing… More

Daniel H. Wagner Associates proposes to develop a tool called the Logistics Agent Wizard (LAW) for the creation and control of logistics goal-based software agents. The LAW will consist of three major parts: the Requirements Wizard, the Agent Builder,and the Agent Monitor. The Requirements Wizard… More

"Daniel H. Wagner Associates, Inc. will develop a prototype Ground Attack Data Fusion and Optimization System (GADFOS) that will accurately fuse all of the information available from large numbers of sensors using non-Gaussian and multiple hypothesistechniques along with computer resource… More

"Daniel H. Wagner Associates, Inc. will develop a full-scale prototype Non-Gaussian Data Fusion System (NGDFS) that will accurately fuse all of the information available from multiple ASW and SUW sensors. NGDFS will utilize advanced multiple hypothesistechniques incorporating interacting multiple… More

"Daniel H. Wagner Associates, Inc. will develop a prototype Non-Gaussian Data Fusion System (NGDFS) that will accurately fuse all of the information available from large numbers of sensors using non-Gaussian and multiple hypothesis techniques along withcomputer resource optimization algorithms and… More

"The goal of this Phase I SBIR project is to successfully demonstrate SOAP-based integration (SOAPi) of Missile Defense Agency (MDA) information systems exposed as Web Services (SOAPi Services). This will lead to a Phase II prototype system, in which wewill demonstrate large-scale, distributed… More

"Daniel H. Wagner Associates, Inc. will develop a full-scale prototype Non-Gaussian Data Fusion System (NGDFS) that will accurately fuse all of the information available from multiple ASW and SUW sensors. NGDFS will utilize advanced multiple hypothesistechniques incorporating interacting multiple… More

"Daniel H. Wagner Associates, Inc. proposes to develop a requirements report and a detailed design for a Current, Wind, and Wave Data Fusion (CWWDF) system for Mine Countermeasures (MCM). The proposed CWWDF system will significantly improve the ability ofNaval MCM forces to carry out their missions… More

"In Phase II Daniel H. Wagner Associates, Inc. proposes to developa prototype Current, Wind, and Wave Data Fusion (CWWDF) systemfor Mine Countermeasures (MCM) and amphibious warfare. Theproposed CWWDF system will significantly improve the ability ofNaval MCM and amphibious warfare forces to carry… More

"In Phase II Daniel H. Wagner Associates, Inc. proposes to developa prototype Current, Wind, and Wave Data Fusion (CWWDF) systemfor Mine Countermeasures (MCM) and amphibious warfare. Theproposed CWWDF system will significantly improve the ability ofNaval MCM and amphibious warfare forces to carry… More

Daniel H. Wagner Associates, Inc. will develop a Ground Target Tracking and Identification System (GTIS) for fusing all available data using Bayesian inferential reasoning, multiple hypothesis association, and non-Gaussian tracking techniques. In Phase Iof this project we will show how such a… More

Daniel H. Wagner Associates will demonstrate the feasibility of large-scale, real-time data management, especially of real-time target discrimination data, on a distributed, extensible, standards-based architecture capable of supporting Ground-basedMidcourse Defense (GMD) requirements during missile… More

Daniel H. Wagner Associates, Inc. will develop a Target Tracking and Classification System (TTCS) for fusing all available data using Bayesian inferential reasoning, multiple hypothesis association, and non-Gaussian tracking techniques. In Phase I of thisproject we will show how such a system for… More

This Phase II project will demonstrate large-scale agent-based integration of distributed missile defense information systems during live missile tests. During FY03 and FY04 Global Reachback demonstrations, we will demonstrate automatic, near-real-time 1) ingest of large amounts of remote sensor… More

We propose to develop a platform-independent Rapid Steganographic Detection Suite (RSDS). The RSDS will be capable of applying a diverse collection of steganalysis detection methods to all relevant files on a PC or other hardware system. The software will have a publicly available API for… More

In multi-target tracking applications, ambiguities generally arise in how to associate sensor reports with targets. Multiple hypothesis tracking (MHT) algorithms maintain multiple alternative data associations to represent these ambiguities. We propose to develop an (MHT) algorithm design that… More

Daniel H. Wagner Associates, Inc. will develop an Anti-Torpedo Data Fusion and Optimization System (ATDOS) which will fuse all available data using multiple hypothesis association, Gaussian sum and non-Gaussian tracking, and Bayesian inferential reasoning techniques to produce a torpedo defense… More

Daniel H. Wagner Associates, Inc. will develop a Ground Threat/Target Location Prediction System (GTLPS). The GTLPS will dynamically generate an estimate of threat and target location based on processing all available data. The primary algorithmic techniques that will be utilized are non-Gaussian… More

Daniel H. Wagner Associates, Inc. will develop an Object Avoidance Tactical Decision Aid (OATDA) that processes all available data, dynamically generates a CTP and an object avoidance plan, and displays this information on the ship's navigation system. A key capability provided by OATDA will be the… More

Daniel H. Wagner Associates, Inc. will develop an Object Avoidance for Unmanned Surface Vehicles (OAUSV) system that processes all available data, dynamically generates a Tactical Picture, an optimal route, and an object avoidance plan, and provides this information to the Unmanned Surface Vehicle… More

Daniel H. Wagner Associates, Inc. will develop a Collision Avoidance Situation Assessment Generator and Tactical Decision Aid (CASAG/TDA). The CASAG/TDA will dynamically generate a Collision Avoidance oriented Situation Assessment (SA) and a recommended collision avoidance plans, both based on… More

The project focus is the development of a ground target tracking algorithm to support the JSTARS radar operating in the GMTI mode. Multiple hypothesis tracking (MHT) algorithms maintain alternative data associations to represent report-to-track association ambiguities. In Phase 1 we developed a… More

In Phase II Daniel H. Wagner Associates, Inc. will develop a full-scale prototype Object Avoidance Tactical Decision Aid (OATDA) that processes all available DD(X) mine avoidance data, dynamically generates a Fused Mine Tactical Picture (FMTP) for the DD(X) Combat System, generates optimal rates to… More

In this project Wagner Associates will develop a DD(X) Multi-Sensor Data Fusion System (MSDFS). MSDFS will incorporate non-Gaussian resource optimization techniques that utilize a geographical Situation Assessment (SA) picture generated by fusing all available data using Bayesian inferential… More

The raw detection data provided by a radar typically consists of primitive measurements that correspond to discrete range-bearing cells. A single target can generate multiple primitive detections in adjacent range-bearing cells as the radar beam scans across it; the radar system therefore employs a… More

Effective Naval warfare depends on accurate estimates of sensor performance in complex environments. Models for sonar performance provide a force multiplier by allowing own ship to optimize its tactics while avoiding counterdetection. The shift in emphasis from open ocean to littoral operations… More

Environmental conditions can have a significant effect on Naval planning efforts and operations. To gain a warfare advantage, information obtained through in-situ observations and measurements of environmental properties (e.g., water depths, currents, temperature, salinity, wave spectra) can be… More

In this project Wagner Associates and John Hopkins University/Applied Physics Laboratory (JHU/APL) will develop an Unmanned Vehicle Effectiveness Evaluation System (UVEES) using a mix of analytic and Monte Carlo techniques. The proposed UVEES will model the behavior of each Unmanned Vehicle (UV),… More

¿ Daniel H. Wagner Associates, Inc., with Science Applications International Corporation (SAIC) as a subcontractor, will develop a demonstration Multi-Vehicle Mission Planner (MVMP) that can optimally allocate Unmanned Vehicle (UV) assets in a typical Littoral Combat Ship (LCS) Flt 0 mission… More

Daniel H. Wagner Associates, Inc. will develop a full-scale prototype Anti-Torpedo Data Fusion and Optimization System (ATDOS) which will fuse all available data using multiple hypothesis association, Gaussian sum and non-Gaussian tracking, Bayesian inferential reasoning and non-Gaussian… More

In Phase II Daniel H. Wagner Associates, Inc. will develop a full-scale prototype Object Avoidance for Unmanned Surface Vehicles (OAUSV) system that processes all available USV object avoidance data, dynamically generates a Fused Tactical Picture (FTP) and generates optimal routes to minimize the… More

In Phase II, Daniel H. Wagner Associates will build a full-scale prototype Multi-Sensor Data Fusion System (MSDFS) using a modular approach to allow for a straightforward transition of the innovative MSDFS technologies into the DD(X)/Open Architecture Track Management (OATM) architecture and also… More

Effective Naval warfare depends on accurate estimates of sensor performance in complex environments, which provides a force multiplier by allowing friendly forces to optimize their tactics while avoiding counterdetection. The shift in emphasis from open ocean to littoral operations has increased… More

In Phase II, Wagner Associates, with SAIC as a subcontractor, will build a full-scale prototype Multi-Vehicle Mission Planner (MVMP) designed for implementation in a Tech Refresh of the LCS UVCC; and interface it with MIW, ASW, and SUW LCS Mission Package high level mission planners (HLPs) as well… More

We propose to develop algorithms and software to fuse data from multiple sensor systems that are tracking ballistic missile threat(s) in order to provide a tactical picture of higher quality than that capable from any single sensor. We will build upon our previously developed Data Fusion… More

In this project Wagner Associates and JHU/APL will develop a highly automated and very "intelligent" Multi-Purpose Operator Assistant (MPOA). Our MPOA will incorporate Bayesian inference, non-Gaussian tracking and non-Gaussian resource optimization techniques that utilize a geographical Situation… More

In this project Daniel H. Wagner, Associates will develop of a highly capable USW Intelligent Controller (IC). Our IC will incorporate Bayesian inference, non-Gaussian tracking and non-Gaussian resource optimization techniques that utilize a geographical Situation Assessment (SA) picture generated… More

This SBIR project will provide the US Navy with a detailed design of an intelligent architecture for automated monitoring and control of federated sensors. Building on recent advances in peer-to-peer (P2P), plug-and-play (PnP), and multi-agent systems (MAS) technologies, this architecture will… More

In this project, Wagner Associates will develop a prototype Multi-hypothesis Active and Passive Data Fusion System (MAPDFS). MAPDFS will accurately fuse active data, such as Air Moving Target Indicator (AMTI) reports; with passive data, such as Electronic Intelligence (ELINT) reports. MAPDFS will… More

Ballistic Missile Defense (BMD) has become increasingly complex, as sophisticated and extensive sensors and defense systems have been developed to detect, track, classify and intercept Tactical Ballistic Missiles (TBMs) throughout each phase of their trajectory. These systems include multiple… More

In this project Wagner Associates will develop an Unmanned Water Vehicle Maneuver Recommendation (UWVMR) system that processes all available data, dynamically generates a SA Picture and a maneuver recommendation plan, and provides this information to the UWV control system (and potentially alerts a… More

The raw detection data obtained by a radar typically consists of primitive measurements that correspond to discrete range-bearing cells, multiple of which can contain energy reflected from a single target. The radar system employs a centroid processing algorithm to combine the primitive… More

In this proposed Phase-I SBIR project, we will investigate, develop, and demonstrate the feasibility of generic techniques and methods for characterizing the errors associated with manual sensor measurement extraction in a variety of processing environments that have manual tracking capability. Our… More

Our Phase I research involved the development of an innovative sensor scheduling algorithm in support of Ballistic Missile Defense. This algorithm schedules multiple diverse and distributed sensors to perform time-critical tasks relating to multiple moving targets; specifically, to detect,… More

The goal of this SBIR project is to develop automated and distributed Net-Centric Data Fusion Modules (NCDFMs) that, when incorporated into the existing USW-DSS data fusion and cross platform synchronization architecture, will (1) create an Undersea Warfare-Decision Support System (USW-DSS) Common… More

This SBIR project will provide the Navy with a Graphical Trace Object (GTO) Tool, which will generate effective and efficient visualizations of distributed applications from real-time trace data. Our goal is to successfully visualize a running distributed application, allowing the end-user to… More

The project objective is to develop a tracking algorithm that will fuse detections and tracks provided by a network of radar sensors with detections and tracks provided by a network of electro-optical (EO) sensors into multi-system tracks. The intent is to thereby achieve increased state estimation… More

In Phase II, Daniel H. Wagner Associates will build the full-scale prototype NMMS and evaluate it using both simulated and real-world sensor data. We will use this Phase II system to further develop effective information flow optimization techniques in support of LCS ASW operations, and in support… More

This Phase I SBIR project will focus on the design of intelligent information management techniques across large-scale enterprises, with special emphasis on the needs of the Department of Defense (DoD), but with applicability to a wide array of government and commercial applications. Building on… More

Daniel H. Wagner proposes to explore and develop the method and the mathematics by which information and networks can be dynamically evaluated to minimize the transmission or display of redundant, low-value data while assuring that high-value information and subsystems are available. To do this, we… More

The project objective is to develop a set of mathematically rigorous Composite Tracking and Discrimination Modules (CTDMs) for accurately fusing both kinematic and non-kinematic sensor information to contribute to a consistent Single Integrated Air Picture (SIAP) containing both Tactical Ballistic… More

In this SBIR project we will develop a mathematically rigorous automated Feature Aided Association Module (FAAM) for accurately combining both kinematic and non-kinematic sensor information in order to create a consistent Single Integrated Air Picture (SIAP) of all aircraft and cruise missile… More

In this SBIR project Daniel H. Wagner Associates will develop a Decentralized and Autonomous Data Fusion Service (DADFS) for heterogeneous Unmanned Vehicles (UVs) that, when incorporated into existing and future UV platforms and UV command and control systems, will (1) create a Common Operational… More

In this project Daniel H. Wagner Associates (DHWA), with NASA's Jet Propulsion Laboratory (JPL) and MARK Resources, Inc. (MRI) as our subcontractors, will develop a lightweight, low-cost Wave Detection, Prediction, and Reaction System (WDPRS) that is designed to reduce the hazard of foundering… More

Autonomous unmanned distributed sensing systems are in the process of revolutionizing undersea military search. The importance of search to military operations is greatest in the environment where detection is the most difficult, i.e. undersea operations. Now distributed sensing systems promise an… More

The goal of this Phase II SBIR project is to develop automated and distributed Network Centric Data Fusion (NCDF) modules that, when incorporated into ASW combat and command and control systems such as USW-DSS will: (1) create an accurate Common Tactical Picture (CTP); (2) synchronize this CTP… More

In this project Wagner Associates will develop an accurate, fast, easy to use, modular, and Open Architecture Engagement Level Air Anti-Submarine Warfare (ASW) Modeling and Simulation (M&S) Tool (ELAST) that will accomplish the key goals of this R&D project: I. Accurately quantify the operational… More

In this project Wagner Associates, with Pennsylvania State University/Applied Research Laboratory (PSU/ARL) as a subcontractor, will develop Improved End-fire Tracking Algorithms (IETAs) that will accomplish the goals of this R&D project: I. Accurately resolve closely spaced multiple torpedoes in… More

In this Phase II SBIR project Daniel H. Wagner Associates will develop a full-scale prototype Decentralized and Autonomous Data Fusion Service (DADFS) for heterogeneous Unmanned Vehicles (UVs) that obtains contact/track data from real-world UVs and (1) creates a Common Operational Picture (COP) on… More

Daniel H. Wagner Associates proposes to develop a tool set for object location and classification, and sensor data geo-registration for full distributed platform data fusion and multi-attribute ASW scene generation. The process of accurately locating and identifying tracks and objects using multiple… More

In this project, Wagner Associates, with George Mason University and DDL OMNI as subcontractors, will develop the ASW Threat Prioritization System (ATPS). This system will: I. Prioritize targets based on threat potential, combining Direct Classification Evidence (e.g. feature measurement clues) and… More

In this project Wagner Associates, with DDL OMNI as a subcontractor, will develop a Coordinated ASW Mission Planner (CAMP) to support and maximize the effectiveness of current and emerging multi-platform, multi-sensor ASW operations. The overall objective of this project is to develop an advanced… More

Daniel H. Wagner proposes to develop further the methods and the mathematics by which information and networks are dynamically evaluated to minimize the transmission or display of redundant, low-value data while assuring that high-value information, and subsystems are available. We propose the… More

In this project Wagner Associates, with Pennsylvania State University/Applied Research Laboratory (PSU/ARL) as a subcontractor, will develop Improved End-fire Tracking Algorithms (IETA) that will accomplish the goals of this R & D project: I. Accurately resolve closely spaced multiple… More

In this Phase II SBIR project, Daniel H. Wagner Associates will develop a full-scale prototype Feature Aided Association Module (FAAM) that will improve the accuracy of Track Management or Data Fusion systems when processing measurement data containing non-kinematic or feature information. FAAMs… More

In this Phase II SBIR project, Daniel H. Wagner Associates will develop a full-scale prototype Optimized Data Management Services (ODMS) for Tactical Environments and its primary service oriented components: the Enterprise Information Acquisition Service (EIAS) and the Information Flow Optimization… More

In this project we will further develop the Anti-Torpedo Data Fusion and Optimization System (ATDOS), which promises significant improvement in the effectiveness of the Torpedo Warning System (TWS) being developed by PMS 415 for Aircraft Carriers and other High Value Large Deck ships. The main… More

In this Phase II project Wagner Associates, with DDL OMNI as a subcontractor, will develop a full-scale prototype Coordinated ASW Mission Planner (CAMP) to support and maximize the effectiveness of current and emerging multi-platform, multi-sensor ASW operations. The overall objective of this… More