Radar Centroid Processing Algorithm with Tracker Feedback

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$80,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N68335-05-C-0362
Award Id:
75326
Agency Tracking Number:
N052-118-0494
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
40 Lloyd Avenue, Suite 200, Malvern, PA, 19355
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
075485425
Principal Investigator:
C. Butler
Vice President
(757) 727-7700
Allen.Butler@va.wagner.com
Business Contact:
W. Reynolds Monach
Vice President
(757) 727-7700
reynolds@va.wagner.com
Research Institute:
n/a
Abstract
The raw detection data provided by a radar typically consists of primitive measurements that correspond to discrete range-bearing cells. A single target can generate multiple primitive detections in adjacent range-bearing cells as the radar beam scans across it; the radar system therefore employs a centroid processing algorithm to combine the primitive measurements and form a single merged detection report to pass along to the tracker. However, if multiple targets exist close to one another, this clustering process can produce undesirable results such as track degradation and/or track drop, since the measurements for more than one target may be combined to produce a single report. Here, we propose a method for utilizing feedback from the tracker to produce the appropriate number of centroid estimates in a given area, thus avoiding track drop. Our method is a modification of the Expectation-Maximization algorithm as applied to the Gaussian Mixture Estimation problem; accordingly, we will refer to our algorithm as EMARCT (an Expectation Maximization Algorithm for Radar Centroid processing with Tracker feedback). In Phase I we will develop the algorithm in greater detail, program it in a high-level language such as matlab, and demonstrate its feasibility on simulated data.

* information listed above is at the time of submission.

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