Guldogan, Mehmet B.2025-10-242025-10-2420141070-99081558-2361https://doi.org/10.1109/LSP.2014.2313177https://hdl.handle.net/20.500.12899/3590In this letter, we study the problem of distributed detection and tracking of a target over a network of separately located Doppler-shift sensors. For this challenging problem, we propose consensus Gaussian mixture - Bernoulli (CGM-Ber) filter. The simulation results prove the robust and effective performance of the proposed approach in a challenging tracking scenario.eninfo:eu-repo/semantics/closedAccessBernoulli filter; consensus algorithms; covariance intersection; distributed fusion; Doppler-shift; target trackingConsensus Bernoulli Filter for Distributed Detection and Tracking using Multi-Static Doppler ShiftsArticle10.1109/LSP.2014.23131772166726762-s2.0-84898045152Q1WOS:000334598700002Q2