Weak Harmonic-Signal Detection in Gaussian Narrow-Band Noise Using the Statistics of Intervals between Zeroes
FOREIGN TECHNOLOGY DIV WRIGHT-PATTERSON AFB OH
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An optimal statistical treatment algorithm, valid for wide and narrow band processes, is obtained for the detection of a weak harmonic signal on a Gaussian narrow band noise background. The integral is based on the statistics of intervals between intersections of zero level processes. It is shown that the noise rejection capacity of a detection process increases when the absolute signal mismatch level with respect to the central frequency of the noise spectrum increases.