A moving target detector based on information fusion

Moving target detector (MTD) related multiple-hypothesis testing is considered, and the Dempster-Shafer theory is applied to this problem. Feature parameters are extracted from radar signals, and the value of each feature parameter is interpreted in terms of Dempster-Shafer's belief or disbelief for the associated hypotheses. Using Dempster's combining rule, a generalized likelihood ratio test is derived.<
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