一种提高雷达导引头对机动目标跟踪性能的自适应滤波算法

An Adaptive Filtering Algorithm for Improving Tracking Performance of Radar Seeker for Maneuvering Target

为了提高地空拦截弹雷达导引头对机动目标状态估计的精度,在增加系统观测量的基础上,提出了一种针对机动目标跟踪的自适应滤波算法。利用量测残差统计值估计目标的机动状态,自适应的调整状态方程机动频率和加速度极限值;同时利用观测噪声统计估值器,调整观测值方差大小。仿真试验结果表明该算法具有良好的机动目标跟踪性能,并能自适应变化较大的观测噪声。

To improve the state estimation precision of a maneuvering target for ground-to-air interceptor missile seeker, a kind of adaptive filtering algorithm for maneuvering target tracking was presented. By enhancing the measurement of system, the statistic values of the observation residual was employed to estimate the maneuver state of targets, the frequency and acceleration limit of the status formulas were adjusted adaptively and the observation noise statistics estimator was used to adjust the observation variance. Simulated results show the algorithm has good performance on maneuver target tracking and adaptability for noises with great change.