Robust distributed sequential detection via robust estimation
Wenbin Hou, Mark R. Leonard, Abdelhak M. Zoubir · 2017
We study the problem of sequential binary hypothesis testing in a distributed multi-sensor network in non-Gaussian noise. To this end, we develop three robust extensions of the Consensus+Innovations Sequential Probability Ratio Test (CISPRT), namely, the Median-CISPRT, the M-CISPRT, and the Myriad-CISPRT, and validate their performance in a shift-in-mean as well as a change-in-variance test. Simulations show the superiority of the proposed algorithms over the alternative R-CISPRT.