Multi-target bearing tracking with a single acoustic vector sensor based on multi-Bernoulli filter
Ahmet Güneş, Mehmet Burak Guldogan · 2015
Underwater acoustic vector sensor (AVS) is a passive sensor which can provide bearing information of the acoustic sources at a single point in space. This is achieved by combining three dimensional acceleration or particle velocity with scalar pressure measurement. In this work, we study the problem of bearing tracking of two targets using the measurements of a single AVS. For this problem, we propose to use the multi-target multi-Bernoulli (MeMBer) filter. The simulation results prove the robust performance of the MeMBer filter.