Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement

Multi-static Doppler-shift has re-emerged recently in the target tracking literature along with passive sensing, especially for aircraft tracking. Tracking with multi-static Doppler only measurement requires efficient multi-sensor fusion approach and optimal sensor network configuration if possible. In this paper, we present a solution for multi-target tracking with Doppler only measurements using the multi-Bernoulli filter. To utilize Doppler measurements from multiple sensors, we investigate different multi-sensor fusion schemes and the sensor-target geometry analysis for optimal multi-static Doppler sensor network configuration. Sensor-target geometry analysis is presented to investigate optimal multi-static Doppler sensor network configuration. Numerical results verify that the proposed sequential Monte Carlo (SMC) multi-Bernoulli filter with sequential update scheme and using the carefully chosen network shows good performance. HighlightsThe multi-sensor multi-Bernoulli filter in different fusion schemes.Sensor-target geometry analysis of multi-static Doppler measurement for optimal network configuration.An efficient solution to tracking multiple targets from multi-static Doppler measurement by the multi-Bernoulli filter.

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