Adaptive post-filer matching technique for detecting signals in nonwhite noise

An adaptive matched filter for detection of signals embedded in nonwhite noise is developed. This filter is based on minimization of the difference between signal autocorrelation and the signal-to-image cross-correlation function filtered accordingly. Results show that this filter lies somewhere between the optimal filter and worst-case detection performance, the latter being evaluated by standard receiver operating characteristic methods.