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A Comparison of Methods to Detect and Eliminate Secondary Target Returns from…

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
53321
Program Year/Program:
2001 / SBIR
Agency Tracking Number:
01SB1-0133
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2001
Title: A Comparison of Methods to Detect and Eliminate Secondary Target Returns from Adaptive Radar Training Data
Agency / Branch: DOD / DARPA
Contract: DAAH0101CR153
Award Amount: $99,000.00
 

Abstract:

For SAR, spatial and temporal adaptive processing (STAP) uses samples local to the cell being processed to estimate local clutter and noise statistics. If these samples are corrupted by returns from other unknown targets, the statistics are invalid and theperformance of the algorithms can be degraded. We propose to conduct a range of experiments to evaluate signal detection, statistical, multi-look, and tracking approaches for detecting unknown target returns in the training data. These include the CLEANalgorithm for detecting and eliminating returns by iteration, a statistical jackknifing approach to detect anomalous training data cells, combining scans from different angles to optimize detection, and near-clutter tracking methods such as

Principal Investigator:

William Snyder
Senior Research Engineer
7812733388
wcsnyder@alphatech.com

Business Contact:

Andrew Mullin
Gen Counsel & Dir of Cont
7812733388
andy.mullin@alphatech.com
Small Business Information at Submission:

ALPHATECH, INC.
50 Mall Road Burlington, MA 01803

EIN/Tax ID: 042654515
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No