A High Performance Framework for Radar Clutter Suppression, Target Tracking and Identification

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-08-C-7868
Agency Tracking Number: B073-030-0079
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: MDA07-030
Solicitation Number: 2007.3
Small Business Information
13619 Valley Oak Circle, ROCKVILLE, MD, 20850
DUNS: 620282256
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Chiman Kwan
 Chief Technology Officer
 (240) 505-2641
Business Contact
 Chihwa Yung
Title: President
Phone: (301) 315-2322
Email: chihwa.yung@signalpro.net
Research Institution
We propose a high performance system for clutter suppression, target tracking, and identification. First, we propose a novel clutter rejection approach that applies an adaptive subspace projection algorithm. As compared to conventional clutter suppression methods, our adaptive clutter rejection algorithm is independent of target detection methods and does not assume any target signal model. Our method is applicable to any kinds of clutter, including infrared, cloud, etc. Second, we propose to apply adaptive chirplet transform to extract the time-varying Doppler frequencies in the target signals. Conventional target detection methods are based on Fourier transform method and do not work for time-varying Doppler frequencies. Our simulations showed that we can still detect dim targets even when the raw data have a signal-to-clutter-ratio (SCR) of less than -50 dB, which is a significant result. Third, we propose to apply latest ballistic target tracking algorithm to track multiple moving targets. Our algorithm is computationally efficient and yields near optimal tracking performance. Fourth, based on the tracking results and target shape information, it is possible to differentiate real missiles from decoys. In Phase 1, we plan to implement the proposed framework and perform extensive simulations to validate its performance. In Phase 2, we will develop a real-time system.

* information listed above is at the time of submission.

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