Robust Distributed Discrete-Time Block and Sequential Detection in Uncertain Environments.

摘要

Two detectors making independent observations must decide which one of two hypotheses is true. Both fixed-sample.size (block) detection and sequential detection are considered. The decisions are coupled through a common cost function which for tests with fixed sample size consists of the sum of the error probabilities while for sequential tests it comprises the sum of the error probabilities and the expected sample sizes. The probability measures which govern the statistics of the i.i.d. observations belong to uncertainty classes determined by 2-alternating capacities.