Track Initiation in a Dense Detection Environment

Abstract
In a dense detection environment present track-while-scan algorithms will inevitably introduce false tracks when processing is performed on a scan- by-scan basis. The maximum likelihood solution involving all detections on all scans is formulated and evaluated for the initiation problem. While the maximum likelihood method cannot be implemented because of the enormous computational requirements, it provides a standard with which to compare algorithms that can be more readily implemented.

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