Multi-target multi-Bernoulli filtering based on propagator method for DOA tracking

Abstract

Aiming at the problem of Direction of Arrival (DOA) tracking for multiple target, this paper proposes a DOA tracking algorithm based on Propagator Method (PM) under Multi-Bernoulli filtering framework. The proposed algorithm uses particle filter to approximate the posterior distribution of target, where the calculation of likelihood function is the key of the update step. The eigendecomposition of the covariance matrix is needed when the likelihood function is replaced by MUSIC spatial spectrum function. In order to reduce the computational complexity of the matrix eigendecomposition, we use the spatial spectral function of PM to replace the pseudo-likelihood function of particle filter, and further exponential weighting is used to enhance the weight of particles at high likelihood area and make resampling more efficient. The simulation results show that the proposed algorithm can effectively track the DOA and estimate the number of multiple maneuvering target.