Title :
Consensus Bernoulli Filter for Distributed Detection and Tracking using Multi-Static Doppler Shifts
Author :
Guldogan, Mehmet Burak
Author_Institution :
Dept. of Electr. & Electron. Eng., Turgut Ozal Univ., Ankara, Turkey
Abstract :
In 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.
Keywords :
Doppler shift; Gaussian processes; filtering theory; object detection; target tracking; consensus Gaussian mixture-Bernoulli filter; distributed detection and tracking; multistatic Doppler shift sensor; Doppler shift; Noise measurement; Probability density function; Sensor fusion; Target tracking; Tin; Bernoulli filter; Doppler-shift; consensus algorithms; covariance intersection; distributed fusion; target tracking;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2313177
