粒子滤波联合目标跟踪分类算法  

Particle Filtering Joint Tracking and Classification Algorithm

作　　者：詹锟 蒋宏[1] 徐龙[1] 白亮[2] 武梦洁 

机构地区：[1]北京航空航天大学飞行器控制一体化技术重点实验室,北京100191 [2]火力控制技术国防科技重点实验室,河南洛阳471009

出　　处：《航空科学技术》2014年第7期73-78,共6页Aeronautical Science & Technology

基　　金：航空科学基金(20125151028)~~

摘　　要：针对现有联合目标跟踪分类(JTC)算法计算量大实时性差的缺陷,本文在JTC求解中引入粒子滤波,替代数值积分,大大缩短了计算时间;利用低分辨率常规雷达(LRR)提供的目标运动学信息和电子支援措施(ESM)提供的目标电磁设备信息,同时提高了目标的识别概率和跟踪性能。仿真验证了粒子滤波联合目标跟踪分类算法的实时性和有效性。Aimed at the high computational complexity of the existing joint target tracking and classification （JTC） algorithm, particle iflter was brought in to replace numerical integration in solving JTC, and computational load was considerably reduced. PF-JTC algorithm utilized the target kinematic information provided by the low-resolution radar 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.

关 键 词：联合目标跟踪分类算法(JTC) 粒子滤波(PF) 低分辨率雷达(LRR) 电子支援措施(ESM) 

分 类 号：TN957[电子电信—信号与信息处理]