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。
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-fihering 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.
出处
《无线电工程》
2007年第5期49-51,共3页
Radio Engineering
关键词
被动跟踪
卡尔曼滤波
滤波耗时
passive tracking
Kalman filtering
runtime of filtering
