Abstract
In a multiple target environment, hit-to-track data association is important for properly tracking targets in view. Track monitoring is a fast method of determining whether the proper data association has been made. This paper presents track monitoring algorithms for both single and multiple passive 2-D sensors along with analytical methods of evaluating their effectiveness. Single sensor track monitoring produces a dilemma: a poor track is a result of target maneuver or incorrect hit-to-track data association. The algorithm presented for multiple 2-D passive sensors solves the problem by adding inclination angle monitoring. The multiple sensor monitoring system can distinguish between target maneuver, incorrect hit-to-track data association, and the addition problem with multiple sensors of incorrect track-to-track association, or `ghost' tracks. These monitoring methods can be used to prune poor hypotheses in MHT filters or in single assignment tracking when processor power is limited.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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