Abstract
Two types of filters are proposed to detect a noisy target embedded in non-overlapping background noise by optimizing tow proposed criteria which are used in the filter design and performance assessment. Metric 1 is defined as the ratio of the square of the expected value of the correlation peak amplitude to the expected value of the output signal energy. Metric 2 is defined as the ratio of the square of the expected value of the correlation peak amplitude to the average output signal variance. It is shown that, for the non-overlapping target and scene noise model, the target window and the scene noise window affect the filter functions significantly.
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