SBIR/STTR Research Award

Moving Target Recognition from a Low-SWaP Airborne Radar System

Award identifier 16dfab270df10c93a97eaf492c605298d744372dd4317403840fe92eb8306a55Awarding agency Department of Defense · Air Force

Award amount

$49,973

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
IMSAR LLC
Proposal award date
2020-12-18
Contract end date
2021-03-18
UEI
E7JMADMVM497
Solicitation number
20.3
Topic code
AF203-001

Research abstract

Target recognition is often confirmed through visual identification, placing personnel as well as expensive military assets in extreme danger. Moving Target Recognition (MTR) mode performed by an airborne radar system will enable the identification of targets at a safe standoff distance; however, MTR is pushing the state-of-the-art for Intelligence, Surveillance, and Reconnaissance (ISR) radars. Radars use Moving Target Indication (MTI) mode to detect moving targets; however, to reliably image moving ground targets for ATR, the target position and attitude must be known to a high degree of accuracy. Also, radar geolocation accuracy from MTI is highly range dependent in the cross-range dimension, as radar angle accuracy is usually 1-2 orders of magnitude higher in angle variance than an EO/IR sensor.  To address the warfighter’s need for responsive target location and recognition, IMSAR LLC is proposing to leverage our low-Size, Weight, and Power (SWaP) Commercial-Off-The-Shelf (COTS) radar systems to develop an MTR mode that processes radar data to accurately geolocate moving targets and uses backprojection to develop a 3D image chip, which can be input into Automatic Target Recognition (ATR) algorithms.  Radars use Moving Target Indication (MTI) mode to detect moving targets; however, to reliably image moving ground targets for ATR, the target position and attitude must be known to a higher degree of accuracy than what a single radar can provide. Also, radar geolocation accuracy from MTI is highly range dependent in the cross-range dimension, as radar angle accuracy is usually 1-2 orders of magnitude higher in angle variance than an EO/IR sensor. For these reasons, we believe using two radars that are performing MTI on moving targets will provide the relevant data needed to determine a higher degree of geolocation accuracy for moving targets. IMSAR has years of experience performing aerial radar data collections from a variety of platforms including the (left to right) Skyfront Perimeter Drone, IMSAR’s Cessna 172 aircraft, and DJI Matrice. IMSAR has the radar experience necessary to provide the quality and quantity SAR imagery needed for the development of MTR algorithms. Our all-weather, day-and-night Ku-band radar systems range from the 7-pound NSP-3 designed for Group I UAS to the 24-pound NSP-7 designed for Group IV UAS and manned aircraft. These systems are modular, scalable, and designed with an open architecture, which has enabled our systems to be integrated on a variety of platforms from hand-held UAS to high-altitude long endurance platforms. These radar systems provide a suite of capabilities, including high-resolution SAR, Coherent and Magnitude Change Detection (CCD/MCD), “VideoSAR” style SAR Motion Video (SMV), ground vehicles and dismounts(GMTI/DMTI), Maritime (MMTI), each with High Value Target (HVT) tracking capabilities.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

42 SBIR/STTR records share this UEI (2009–2025). Reported award amounts total $20,301,278. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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