Parameter tracking method for polarization-sensitive arrays based on the generalized labeled multi-Bernoulli filter

Current methods for the joint estimation of direction of arrival (DOA) and polarization parameters are generally optimized for stationary scenarios. In dynamic environments where signal sources move rapidly, these methods frequently encounter estimation errors. To overcome this challenge, we introduce a novel approach for the joint tracking of DOA and polarization parameters in dynamic scenarios. This method utilizes a polarization-sensitive array to capture incoming wave signals and employs the generalized labeled multi-Bernoulli (GLMB) framework to update the DOA and polarization parameters. Initially, an enhanced MUSIC function is deployed as a pseudo-likelihood function to improve particle distribution in areas of high-likelihood. Subsequently, a novel measurement separation (NMSS) strategy is developed to create a one-to-one correspondence between measurements and signal sources. The implementation of this algorithm through sequential Monte Carlo (SMC) techniques aims to approximate the posterior density accurately. Simulation results indicate that our proposed method surpasses existing algorithms, particularly in environments characterized by low signal-to-noise ratios (SNR) and limited snapshots.