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.
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)~~
