A Labeled multi-Bernoulli Filter for Multisource DOA Tracking

摘要

This paper addresses the problem of multisource direction-of-arrival (DOA) tracking based on the labeled multi-Bernoulli (LMB) filter. In order to avoid information loss, we directly utilize the received signal at an array antenna. The normal superpositional measurement model can be used to describe the relationship between DOAs from multiple sources to the received signal. LMB is not conjugated under the multitarget likelihood function of this distribution, so no analytical solution can be obtained. In order to overcome such difficulty, the likelihood of superpositional measurement model is approximated as a complex Wishart random matrix, and the updated LMB distribution is computed by matching the probability hypothesis density (PHD) of posterior. The auxiliary particle filter is employed to implement the LMB filter, and the performance of proposed algorithm is verified via simulations.