Underwater near field sources separation and tracking with hydrophone array based on spatial filter

In this paper, underwater near field sources separation and tracking method based on hydrophone array technique is proposed. Based on the acoustic wave propagation model in near field, the multiple signal classification and minimum variance beamforming method are applied. According to the maneuvering target detection strategy, an algorithm for source separation and tracking is proposed based on spatial domain filtering combined with neighborhood search method for improved tracking accuracy and low computational cost. Simulation results show that the proposed algorithm can separate near field multiple signal sources and track the definite target effectively.