Track Correlation / Sensor Netting

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$691,038.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
HQ0147-09-C-7025
Agency Tracking Number:
B073-046-0205
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
BKF SYSTEMS
2380 Emerick Rd., Cle Elum, WA, 98922
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
133876354
Principal Investigator:
Boris Kovalerchuk
Principal Investigator
(509) 857-2500
borisk@fairpoint.net
Business Contact:
Boris Kovalerchuk
President
(509) 857-2500
bkf1@BKFSystems.com
Research Institution:
n/a
Abstract
Detection, tracking, and identification of ballistic missiles can benefit significantly from improved correlation of the tracks and detections. Tracks and detections are coming from the optical sensors and the radar sensors for further fusion of data into the single picture of the situation. However, available association/correlation methods are not nearly robust enough. Several radar, EO, and IR sensor characteristics reduce the ability to match tracks correctly. Range and azimuth resolution, scale distortion, relief displacement (foreshortening and layover), and sensor shadow are among them. The objective of this proposal is to develop advanced, innovative, robust, real-time algorithms and software for the integration of passive or active EO sensor tracks or detections with radar generated tracks or detections. The solution uses metric data and features, provides a measure of confidence, identifies clusters of tracks when objects are indistinguishable, and can be implemented in a centralized or distributed architecture. The main novelty of the proposed EAD algorithm is in the use of robust and affine invariant structural relations built on the features for accurate correlation.

* information listed above is at the time of submission.

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