基于加速度估计的复合导引头机动目标跟踪算法

Maneuver Target Tracking Algorithm for Composite Guided with Acceleration Estimation

信息融合算法是毫米波/红外复合导引头的关键技术之一,其中机动目标跟踪能力直接系统的跟踪性能。α-β作为一种常增益滤波器对CV或CA运动目标有良好的跟踪性能,但当目标机动时性能却大大下降。针对机动情况,提出一种目标加速度估计方法,并利用此加速度估计值来修正目标状态估计值,使其具有良好的机动跟踪性能。最后应用Matlab软件进行仿真分析,分析结果表明改进后的滤波器无论是对目标机动还是非机动跟踪性能良好,计算量少。

Information fusion technology is one of the key technologies of MMW / IR composite guided. Maneuver target tracking algorithm decides the performance of of the system directly. The alpah-beta filter as a constant gain filter is usually applied under the CV or CA motion. And it has a good tracking performance. But the performance is degraded greatly when the target has a maneuver. A target acceleration estimation method is proposed for maneuver situatuon. The value of target state estimation is corrected using the acceleration estimation. It makes the improved filter have a good tracking performance for target maneuver. Finally, experiment is simulated with Matlab software. The result shows that the improved filter has better tracking performance for both maneuver target and non-maneuver target,and has little computation.