Methods for Detecting and Eliminating Undesired Target Returns from Training Data in Adaptive Radar Processing

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$247,728.00
Award Year:
2002
Program:
SBIR
Phase:
Phase II
Contract:
DAAH01-02-C-R122
Award Id:
53321
Agency Tracking Number:
01SB1-0133
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
William Snyder
Senior Research Engineer
(781) 273-3388
wcsnyder@alphatech.com
Business Contact:
Andrew Mullin
Gen Counsel & Dir of Cont
(781) 273-3388
andy.mullin@alphatech.com
Research Institution:
n/a
Abstract
"Recent studies have shown that the performance of Space-Time Adaptive Processing (STAP) degrades when there are moving targets in the secondary training data. Although a variety of techniques have been proposed for controlling the effects of targets inthe secondary data (TSD), these techniques generally do not take advantage of external information. We are developing knowledge-based STAP (KBSTAP) approaches that include three techniques for predicting regions in the CPI data cube that are likely tocontain targets: (1) use ALPHATECH's MHT Tracker to project target locations from previous CPIs, (2) transform information about roads and traffic speed distribution into the CPI coordinate frame, and (3) use the output of STAP itself in an iterative loopto estimate and then remove targets responses. We are also developing two techniques for removing target responses from the training data: (1) apply a re-weighted covariance estimator after excision; (2) coherently suppress the target response using avariant of the CLEAN algorithm and estimate the clutter covariance after omitting the contaminated cells. In Phase II will refine the algorithms and demonstrate their effectiveness using high quality simulation as well as actual data."

* information listed above is at the time of submission.

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