幅度信息辅助的认知雷达跟踪波形选择  

Amplitude information aided waveform selection for cognitive radar tracking

作　　者：熊芳勇 王建涛 黄洁[1] 党同心[1] XIONG Fangyong;WANG Jiantao;HUANG Jie;DANG Tongxin(University of Information Engineering,Zhengzhou 450001;94326 troops of PLA,Jinan 250000,China)

机构地区：[1]信息工程大学,河南郑州450001 [2]中国人民解放军94326部队,山东济南250000

出　　处：《指挥控制与仿真》2023年第6期47-56,共10页Command Control & Simulation

摘　　要：为提升认知雷达跟踪性能,提出了一种幅度信息辅助的认知雷达跟踪波形选择算法。首先,讨论了认知雷达跟踪波形参数选择的框架,其次,分析了幅度辅助跟踪概率数据关联的性能,提出了波形参数选择的方法;最后,结合交互式多模型无迹卡尔曼滤波器(Interactive Multiple Model Unscented Kalman Filter,IMMUKF)提出了幅度信息辅助的认知雷达跟踪波形选择算法。仿真结果表明,所提算法能有效提升目标跟踪性能,同时减少了目标跟踪丢失概率。In order to improve the tracking performance of cognitive radar,this paper proposes a waveform selection algorithm for cognitive radar tracking assisted by amplitude information.Firstly,the framework of waveform parameter selection for cognitive radar tracking is discussed.Secondly,the performance of amplitude-assisted tracking probability data association is analyzed,and the method of waveform parameter selection is proposed.Finally,combined with the Interactive Multiple Model Unscented Kalman Filter(IMMUKF),an amplitude information assisted waveform selection algorithm for cognitive radar tracking is proposed.Simulation results show that the proposed algorithm can effectively improve the target tracking performance and reduce the probability of target tracking loss.

关 键 词：幅度信息 认知雷达 目标跟踪 波形选择 

分 类 号：TN953[电子电信—信号与信息处理]