Abstract:

To investigate the problem of tracking multiple acoustic targets with multiple passive acoustic sensors in a clutter environment, the multi-target tracking model is built based on the random finite set. The probability hypothesis density (PHD) particle filter is used to solve the model. Aiming at the problem of the PHD filter is mainly for the single sensor case only, a method of multi-sensor fusion tracking is proposed, which takes advantage of the sequential PHD filter and could increase the detection rate. Finally, an example of data simulation demonstrates the effectiveness of the approach.