A test statistic, which does not require prior knowledge of pd, is proposed to support automatic track confirmation and termination decisions in a multiple hypotheses tracker (MHT). Use of gamma distributions yields a linear log-likelihood ratio (LLR) with constant parameters derived from target and clutter models. The proposed LLR results in a higher probability of true track confirmation (i.e., the statistical power of the test) for a given probability of false track confirmation than does the reference MHT implementation and more uniform confirmation statistics.
Powerful Test Statistic for Track Management in Clutter
IEEE Transactions on Aerospace and Electronic Systems ; 50 , 1 ; 207-223
2014-01-01
845513 byte
Article (Journal)
Electronic Resource
English
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