首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于自适应滤波的雷达目标跟踪算法
引用本文:王飞,史建涛.一种基于自适应滤波的雷达目标跟踪算法[J].现代雷达,2019,41(10):35-38.
作者姓名:王飞  史建涛
作者单位:海装驻南京地区第三军事代表室,南京210012,南京电子技术研究所,南京210039;中国电子科技集团公司智能感知技术重点实验室,南京210039
基金项目:国家自然科学基金资助项目(61973288);江苏省自然科学基金资助项目(BK20191133)
摘    要:针对在复杂环境下基于卡尔曼滤波的雷达目标跟踪中存在的鲁棒性和自适应性较差的问题,研究了一种新的雷达目标自适应鲁棒跟踪算法;通过引入自适应渐消因子,对估计误差协方差和滤波增益矩阵进行在线自适应调整,从而使得滤波算法具备良好的鲁棒性和自适应性,提高雷达目标跟踪的精度。最后,通过仿真对所研究的方法进行了验证。

关 键 词:雷达目标跟踪  自适应滤波  卡尔曼滤波  自适应因子

A Radar Target Tracking Algorithm Based on Adaptive Filtering
WANG Fei and SHI Jiantao.A Radar Target Tracking Algorithm Based on Adaptive Filtering[J].Modern Radar,2019,41(10):35-38.
Authors:WANG Fei and SHI Jiantao
Affiliation:The Third Military Representative Office of Navy Equipment Department Stationed in Nanjing,Nanjing 210012, China and Nanjing Research Institute of Electronics Technology,Nanjing 210039, China; Key Laboratory of IntelliSense Technology, CETC,Nanjing 210039, China
Abstract:The robustness and adaption ability of radar target tracking algorithms based on the traditional Kalman filters are not satisfactory. A radar target tracking algorithm based on adaptive filtering has been investigated. The estimation error covariance and gain matrix can be adjusted adaptively by introducing an adaptive fading factor, which could improve the robustness and adaption ability of the filter algorithm and enhance the tracking precision. Finally, the effectiveness of the proposed method has been verified.
Keywords:radar target tracking  adaptive filtering  Kalman filtering  adaptive factor
点击此处可从《现代雷达》浏览原始摘要信息
点击此处可从《现代雷达》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号