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Kalman滤波算法在被动跟踪中的应用
引用本文:李朝伟,周希元,沈文亮.Kalman滤波算法在被动跟踪中的应用[J].无线电工程,2007,37(5):49-51.
作者姓名:李朝伟  周希元  沈文亮
作者单位:中国电子科技集团公司第54研究所,河北,石家庄,050081
摘    要:研究卡尔曼滤波算法在被动跟踪系统中的应用。采用滤波与控制相分离的方法,设计卡尔曼滤波器,推导了相应的扩展卡尔曼滤波公式,并利用获取的实测数据,对卡尔曼滤波算法进行了性能仿真。结果表明,滤波算法滤波效果明显,平均耗时约1.5ms,可以用于被动跟踪系统中信号的实时处理。

关 键 词:被动跟踪  卡尔曼滤波  滤波耗时
文章编号:1003-3106(2007)05-0049-03
修稿时间:2006-11-15

Application of Kalman Filtering Algorithm in Passive Tracking
LI Chao-wei,ZHOU Xi-yuan,SHENG Wen-liang.Application of Kalman Filtering Algorithm in Passive Tracking[J].Radio Engineering of China,2007,37(5):49-51.
Authors:LI Chao-wei  ZHOU Xi-yuan  SHENG Wen-liang
Institution:The 54 th Research Institute of CETC, Shijiazhuang Heibei 050081, China
Abstract:The application of Kalman filtering algorithm in passive tracking system is studied.First,the filter is designed by separating the filtering and controlling,and the extended-Kalman-filtering formula is deduced;then the performance of the Kalman filtering algorithm is simulated with the data obtained from the passive tracker.The results show that the algorithm is effective,its average runtime is approximately 1.5 ms,and can be applied to the realtime signal processing in passive tracker.
Keywords:passive tracking  Kalman filtering  runtime of filtering
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