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San Diego, CA, United States

Grant
Agency: Department of Defense | Branch: Defense Advanced Research Projects Agency | Program: SBIR | Phase: Phase II | Award Amount: 748.73K | Year: 2011

The DoD is developing a number of radars to detect and track surface targets including vehicles and dismounts as well image targets using synthetic aperture radar modes. These system achieves wide-area surveillance for dismounts by operating on stationary platforms (helicopter) which eliminates mainbeam clutter spread and allows slow-moving targets to be effectively separated from strong ground clutter based on Doppler shift. Also, the GMTI modes currently employ relatively narrowband waveforms to minimize the impact of target range walk during a coherent processing interval. The SAR mode, on the other hand, employs a much wider bandwidth and requires a moving platform in order to form the synthetic aperture required for image formation. Thus the GMTI and SAR modes represent seemingly conflicting requirements. Namely, traditional GMTI modes work best with stationary platforms and narrow bandwidths, whereas SAR requires a moving platform and wide bandwidth. The proposal describes an approach to develop innovative wideband waveform concepts for simultaneous high resolution SAR and GMTI operation.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 79.92K | Year: 2012

Ground moving target indication (GMTI) and surface moving target indication (SMTI) radar are extensively used for the purpose of detecting and tracking dismounts and moving vehicles over land and water. SMTI radar offers the potential for all-weather day-night persistent detection of surface targets over the entire earth. For SMTI radar to achieve its true potential, however, advances in radar signal processing will be required that address various issues associated with operating over a wide range of clutter environments including land, littoral, and open ocean. When dismounts and moving vehicles are present near a coastline, radar performance suffers due to heterogeneous clutter conditions caused by the changing terrain and the general differences in land-based and sea-based clutter. An algorithm that successfully detects moving vehicles and dismounts while minimizing false alarms in littoral clutter regions improves the capabilities of radar systems that can operate in littoral environments.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 975.86K | Year: 2012

A wide variety of unmanned air vehicles (UAVs) carrying various sensors are increasingly deployed on today"s battlefield for intelligence, surveillance and reconnaissance (ISR) missions. These UAV platforms provide a wealth of ISR data mainly captured with video sensors. These video sensors provide considerable amounts of data for exploitation, suitable for various types of assisted and autonomous processing including target tracking, aimpoint generation, forensic analysis, and behavioral characterization. Generally the smaller UAVs do not have existing sensor models and sensor pointing direction may not be well known. These limitations make associating accurate position information with the full motion video (FMV) difficult using current techniques. Under previous SBIR funding, ISL developed the Full Motion Video Georegistration Application (FMVGA) to automatically produce georegistered FMV, i.e. a three-dimensional geoposition coordinate (latitude, longitude, and elevation) associated with every pixel of the video without the requirement for an associated sensor model or platform position information. In the proposed program, ISL will implement improvements identified by users during the evaluation process. These improvements will include 1) computational improvements, 2) application improvements to improve robustness, and 3) interface improvements. At the end of this program the FMVGA will have been evaluated in an operational setting and available for transition.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 744.56K | Year: 2012

This Phase 2 research is directed towards designing electrodes for electric field (E-field) sensing technology that will be incorporated into the design for an air-droppable, A-size acoustic/E-field combination sonobuoy (designated the"E-Buoy"). The electrodes are part of a 3-axis E-field sensing system, which also includes a pre-amplifier and an A/D circuit. Most current E-field sensors use a silver/silver-chloride (Ag/AgCl) electrode encased in conductive agar, which acts as a buffer between the electrode and the seawater. During the time it takes for these electrodes to come to equilibrium with the seawater upon buoy deployment, system performance can be degraded. The purpose of this effort is to develop a suitable electrode for employment in air-dropped buoys for ASW localization missions.. The primary tasks for this Phase are: (a) to identify whether alternative electrode types to the Ag/AgCl, primarily capacitive carbon electrodes, work better in the combination sonobuoy, (b) to determine the best way to buffer the electrodes, (c) to assess the feasibility and potential advantages of dry-storable electrodes vs. wet electrodes, and (d) to develop a prototype design for compact electrodes which can be packaged and stored within an A-size container for long periods prior to deployment, and open up automatically.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 2.00M | Year: 2012

Bistatic radar processing by airborne signals intelligence (SIGINT) and other intelligence, surveillance, reconnaissance (ISR) platforms affords covert, passive exploitation of adversary or own-force radar systems to improve tactical situational awareness and fused intelligence products. Traditionally these bistatic signals have been ignored or unexploited by existing SIGINT/ELINT. The bistatic signals, however, contain a rich set of radar returns from both targets and cultural and natural features (i.e., clutter) that can be used to improve emitter geolocation as well as provide covert surveillance of enemy aircraft. Exploiting the bistatic signals, however, requires both novel signal processing algorithms and advanced processing architectures that can meet the challenging computing requirements for extracting the information contained in the bistatic returns. Under a successful Phase I effort, ISL established feasibility of the bistatic processing concept by showing that advanced intelligence products can be extracted from the bistatic clutter returns in a computer with a form factor that is appropriate for integration on an airborne SIGINT collection platform. The proposed Phase II program will refine the processing concept developed in Phase I and show that it can be implemented in low-cost hardware.

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