Abstract
A filter function is derived for input signals containing a target which is spatially disjoint (that is non-overlapping) with the input scene noise. The optimization metric is the ratio of the square of the expected value of the correlation peak to the expected value of the output signal energy. In this model, the effects of the non-whiteness of the scene noise, the non-stationarity of the scene noise due to the limited size of the input scene, the non-overlapping of the target and the scene noise, and the unknown variations of the target illumination are considered. We show that, for the non-overlapping target and scene noise, the target window and the scene noise window strongly influence the optimum filter function.
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