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The properties and performance of the generalized coherence (GC) estimate as a statistic for detecting the presence of a common but unknown signal on several noisy channels are examined. The H/sub 0/ distribution function of the GC estimate derived in earlier work is applied to develop detection thresholds corresponding to a range of false alarm probabilities for various numbers of channels and data sequence lengths. Results of simulations to determine the performance of a GC-based detector as a function of the signal-to-noise ratios on the data channels are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Cochran et al. (2002) studied this question.
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