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Proceedings Paper

Fusion of synchronous tracks
Author(s): Rajat K. Saha; Kuo-Chu Chang; Mieczyslaw M. Kokar
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Paper Abstract

This paper describes an algorithm for fusion of tracks created by Radar and IR sensors at remote sites. It is assumed that these sensors are synchronous and the tracks are transmitted to a central station at the same rate. Since these sensors have non-unity probability of detection (Pd < 1), the transmitted tracks contain gaps due to missed detection. In addition, false tracks may be created which will result in number of tracks created by each sensor being greater than the number of targets. This paper describes a track fusion algorithm which involves processing the remote tracks at a central station where track to track correlation is performed using a track matching algorithm and false tracks are eliminated. At any update time, if it is found that a track has not been updated, it is propagated from its last update time. Correlated tracks are fused and the library of track files is updated at the central station by the newly created fused track. Results of preliminary algorithm testing are presented.

Paper Details

Date Published: 28 July 1997
PDF: 12 pages
Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); doi: 10.1117/12.280799
Show Author Affiliations
Rajat K. Saha, Nova Research Corp. (United States)
Kuo-Chu Chang, George Mason Univ. (United States)
Mieczyslaw M. Kokar, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 3068:
Signal Processing, Sensor Fusion, and Target Recognition VI
Ivan Kadar, Editor(s)

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