A polarization information aided probabilistic data association for target tracking in polarimetric radar system

摘要: In conventional radar tracking, kinematic measurements such as range, bearing and Doppler are usually used in target tracking methods. It has been demonstrated that the performance can be further improved by utilizing more information. With regard to polarimetric system where polarization information (PI) is available, PI thus should also exploited ensure robustness of performance. This paper considers incorporating into probabilistic data association filter (PDAF). Firstly, a generalized structure aided PDAF (PDAFPI) method given. suitable for different models algorithms. Secondly, monostatic radar, two versions PDAFPI proposed single-target tracking. Specifically, first version algorithm optimum case (O-PDAFPI) characteristics noise covariances known prior. The later one fully adaptive suboptimum cases (S-PDAFPI) parameters unknown. Simulation results show algorithms effectively improve track reliably both non-maneuvering maneuvering targets.