RDRTec proposes to develop, compare, and test innovative techniques that will provide robust adaptive ISAR classification tools to assist the radar operator's rapid and accurate classification of ships and small boats in the littoral. This includes variation within specific classes. The final goal… More

The implementation of Sense and Avoid (S&A) capabilities on Unmanned Aircraft Systems (UAS) present a particular challenge in that sensor technologies, visible, infrared and RF, tend to require too much space, weight and power (SWAP) for these relatively small airframes, yet these craft are a great… More

RDRTec proposes to further develop, mature, test, and begin transition of innovative techniques based on the Phase 1 effort that will provide robust adaptive ISAR classification tools to assist the radar operator's rapid and accurate classification of ships and small boats in the littoral. This… More

This effort will develop and test a long integration mode for radar detection and tracking of small maritime targets at high grazing angles for the Fire Scout radar. This mode will exploit the combination of new innovative Pulse Mode Interleaved (PMI) radar hardware capabilities that enable long… More

RDRTec Inc. proposes to investigate the feasibility of combining new innovative pulse interleaved radar hardware capabilities that enable long integration times while maintaining search area rates.

The proposed effort is to develop, compare, and test innovative techniques that will provide robust multi-sensor (infrared and radar) classification tools to assist the operator's rapid and accurate classification of ships and small boats in the littoral. To that end techniques will be developed… More

The implementation of Sense and Avoid (S&A) capabilities on Unmanned Aircraft Systems (UAS) present a particular challenge in that sensor technologies, visible, infrared and RF, tend to require too much space, weight and power (SWAP) for these relatively small airframes, yet these craft are a great… More

RDRTec Inc. and SAIC propose to develop, compare, and test innovative multi-polarization techniques that will both increase the information content in Inverse Synthetic-Aperture Radar (ISAR) images as well as exploit that information to increase the robustness of maritime classification tools that… More

RDRTec Inc. proposes to develop and prove the feasibility of an adaptive multi-channel phased array manifold that reconfigures by radar mode for optimum performance. The emphasis will be on candidate multi-mode X or C-band radars with phased arrays that support modes with both high and low bandwidth… More

RDRTec Inc. proposes to develop and test innovative processor architectures for ship classification and Automatic Target Recognition (ATR) for both stand-alone Inverse Synthetic Aperture Radar (ISAR) images and fusion with simultaneous EO/IR sensor images when available.

To allow for routine operation in the NAS, Navy UAS platforms will be required to have an FAA certified Air-Based Sense and Avoid (ABSAA) system. This will compliment the Ground-Based Sense and Avoid (GBSAA) system which together form a layered surveillance strategy for UAS collision avoidance. The… More

Inverse Synthetic Aperture Radar (ISAR) modes in surveillance radar have the potential to distinguish between small military and civilian threats that are in maneuvering amongst numerous commercial vessels in the littoral. This effort developes Automated Maritime Classification Aids (MCAs) that… More

RDRTec Inc. proposes to develop innovative coherent temporal processing techniques and radar modes that detect, discriminate, and track small boats and semi-submersible vessels in the presence of highly variable Doppler spectra characteristics that occur in the littoral sea clutter environment.

This effort is to develop and prove the feasibility of techniques that accurately characterize the tracker errors when predicting the target"s future position. This is the essence of optimal UAS sense decision making processes in the presence of non-cooperative aircraft.

A detailed analysis will be accomplished to determine the feasibility of merging the automated ship and small craft classification functions currently under development under separate SBIR Maritime Classification Aids (MCA) efforts with the Ocean Surveillance Initiative (OSI) maritime tactical… More

This effort will develop innovative techniques to provide target classification of ground moving target indication (GMTI) contacts using simultaneous and continuous streaming SAR imagery of moving targets within the scene. Using modified waveforms but the same data that is used for SAR processing,… More

This effort is to develop techniques to provide improved ship and small boat classification using hybrid synthetic aperture radar inverse synthetic aperture radar (SAR-ISAR) imaging. Both ISAR and SAR exploit target viewing angle diversity to form the cross range dimension of the image. The… More

This reseach addresses innovative techniques that will provide robust multi-sensor (infrared and radar) classification tools to assist the operator"s rapid and accurate classification of ships and small boats in the littoral. Radars employing Inverse Synthetic Aperture Radar (ISAR) processing… More

RDRTec Inc. and SAIC propose to develop and test innovative processor architectures for Maritime Classification Aids (MCA) and Sense And Avoid (SAA) algorithms. MCA algorithms include ship classification and Automatic Target Recognition (ATR) for both stand-alone Inverse Synthetic Aperture Radar… More

RDRTec Inc. and SAIC propose to continue the development of Maritime Classification Aids (MCA) that includes the automation of ship and small craft classification using all the sensors and modes available. These include the use and merging of all available sensor data (radar, visible/infrared, and… More

RDRTec Inc. and The John Hopkins University Applied Physics Laboratory (JHU/APL) propose to determine the feasibility of innovative polarimetric imaging techniques to significantly improve small maritime target detection and classification capabilities.

The proposed effort will develop a comprehensive suite of algorithms for detection and tracking of moving vehicles (small boats and land vehicles) and dismounts that extends across the open water, surf zone, and beach. This suite of algorithms will perform accurate long-term tracking of detected… More

This effort sill establish the technical feasibility of developing an innovative Sensor Exploitation Management System (SEMS) that analyzes and exploits radar sensor data.

This effort will perform a trade study that establishes the technical feasibility of ADS-B anti-spoofing technologies that can either be applied as upgrades directly to the ADS-B or attained by merging with the non-cooperative Sense and Avoid (SAA) avoidance sensor suite. ADS-B signals lack… More

This effort will develop innovative coherent temporal processing techniques and radar modes that detect, discriminate and track small boats and semi-submersible vessels in the presence of highly variable Doppler spectra characteristics that occur in the littoral sea clutter environment. This is a… More

To allow for routine operation in the NAS, Navy UAS platforms will be required to have a certified Air-Based Sense and Avoid (AB-SAA) system to provide collision avoidance against non-cooperative threats. The choosen AB-SAA sensor is an air-to-air radar system being developed by RDRTec. This effort… More