摘要
针对现实C3I系统的工程要求,通过限定下限的衰减稳态增益滤波算法对Kalman滤波的稳态形式进行了扩展,提出了一种新的实时机动辨识算法和滤波增益的调整策略,同时对于航迹起始时的暂态过程进行了特殊的处理。仿真结果表明,该算法减小了自适应的滞后误差,提高了跟踪精度,极大地改善了滤波的收敛速度。
Based on practical application,a new method which is an extension of the Kalman Filter to match the require of project application is applyed.And new motion-detection algorithms that reduce the delay in auto-adaptation is established.Then a special process is made to the transient and the speed of convergence is improved.Monte Carlo simulation shows that the algorithm solves the paradox between complexity,transcendent data requirement and precision.
出处
《现代防御技术》
北大核心
2008年第4期120-122,135,共4页
Modern Defence Technology
关键词
机动目标跟踪
实时机动辨识
增益调整
自适应滤波
maneuverable object tracking
real-time motion detection
gain adjustment
auto-adaptive filter
