Prior works on distributed detection with correlated Gaussian observations primarily dealt with single-bit reports to the fusion center and suboptimal fusion rules. Considering multiple bits and independent reporting channel errors, we formulate the optimal detection problem as a nonlinear integer programming problem for which the genetic algorithm is applied to find a suboptimal solution. The Bayesian probability of error performance of our suboptimal solution, first, for one-bit, is better than the performance of some previously proposed schemes and, second, for multiple bits, approaches that of the centralized detection scheme.
Soft-Decision-Based Distributed Detection With Correlated Sensing Channels
IEEE Transactions on Aerospace and Electronic Systems ; 55 , 3 ; 1435-1449
2019-06-01
2966675 byte
Article (Journal)
Electronic Resource
English
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