Multiple-channel detection using generalized coherence

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.<
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