Multi-Sensor Single Target Bearing-Only Tracking in Clutter
Mahendra K. Mallick, Thia Kirubarajan · Defense Technical Information Center (DTIC) · 2001
In this paper, we have addressed the single target multiple acoustic UGS tracking in clutter using the particle filter (PF) algorithm. We have used realistic values for the probability of detection and false alarm. We have demonstrated that the PF algorithm works in a robust manner when the probability of detection is low and the false alarm is high as is the case in realistic harsh scenarios. In our future work, we plan to compare the performance of the PF with the EKF using the PDA approach and analyze the estimation accuracy by varying the accuracy of the acoustic sensor measurement.