30 April 1992 Some properties of optimal thresholds in decentralized detection
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A decentralized Bayesian hypothesis testing problem is considered. It is analytically demonstrated that for the binary hypothesis problem, when there are two sensors with statistically independent Gaussian-distributed observations (conditioned on the true hypothesis), there is no loss in optimality in using the same decision rule at both sensors. Also, a multiple hypothesis problem is considered; some structure is analytically established for a optimal set of decision rules.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William W. Irving, William W. Irving, John N. Tsitsiklis, John N. Tsitsiklis, } "Some properties of optimal thresholds in decentralized detection", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); doi: 10.1117/12.57943; https://doi.org/10.1117/12.57943


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