Multiple wideband source detection and tracking using a distributed acoustic vector sensor array: A random finite set approach
A problem of multiple wideband source detection and tracking using a distributed acoustic vector sensor array was considered. We developed a random finite set based particle filtering approach to jointly detect and track multiple sources in 3-D space. We examined the performance of proposed algorithm under different noisy environments and different number of snapshots. Simulation results demonstrated the performance of the proposed approach and showed a significant improvement on position estimation over the least squares approaches.
detection and tracking acoustic vector sensor random finite set particle filtering distributed sensor array