Particle filter based joint tracking and classification
Kun Zhan, Long Xu, Hong Xu Jiang, Liang Bai, Mengjie Wu · 2014
To overcome the high computational complexity of the existing joint tracking and classification (JTC) algorithm, particle filter (PF) is introduced to replace numerical integration in solving JTC, and hence computational load is considerably reduced. Our particle filter based JTC (PF-JTC) algorithm makes use of the target kinematic information provided by the low-resolution radar (LLR) and the target electromagnetic equipment information provided by the electronic support measure (ESM) to improve the performance of tracking and classification simultaneously. Simulation results verify the effectiveness of the proposed PF-JTC algorithm.