Track Correlation / Sensor Netting

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-09-C-7025
Agency Tracking Number: B073-046-0205
Amount: $691,038.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solitcitation Year: 2007
Solitcitation Topic Code: MDA07-046
Solitcitation Number: 2007.3
Small Business Information
BKF Systems
2380 Emerick Rd., Cle Elum, WA, 98922
Duns: 133876354
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Boris Kovalerchuk
 Principal Investigator
 (509) 857-2500
 borisk@fairpoint.net
Business Contact
 Boris Kovalerchuk
Title: President
Phone: (509) 857-2500
Email: 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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