摘要
提出一种跟踪速度受限目标的滤波算法,对于速度受限目标采用平滑修正滤波跟踪算法,首先用Kalman滤波得到当前时刻的滤波值,找到平滑精度最高点,根据速度限制条件,对滤波结果进行修正。为了保证滤波的无偏有效性,修正计算得到的结果不参加接下来的滤波。通过理论分析和仿真研究表明:速度受限跟踪算法在观测误差相对较大的滤波起始阶段可以使滤波跟踪效果获得较大的改善。
A speed constraint target tracking algorithm is proposed. Smoothing-modified tracking algorithm is adopted for the speed kinematic constraint target. Firstly, real-time filtered value is obtained by Kalman filter, and then to get the most accurate value of smoothing and modify other filtered values by speed kinematic constaint condition and the most accurate value, The filter consistency and efficiency can be guaranteed because the modified value is not used in the following process, Analysis and simulation is employed to evaluate the performance of new algorithm
出处
《信号处理》
CSCD
北大核心
2008年第3期467-469,共3页
Journal of Signal Processing
关键词
目标跟踪
速度受限
滤波
最佳估计
Target Tracking
Speed Constraint
Filter
Optimal Estimation
