自适应鲁棒滤波在机动目标跟踪中的应用研究

Application of Adaptive Robust Filter in Maneuvering Target Tracking Algorithm

随着技术的发展,反舰导弹飞行速度快,机动性强,留给舰艇的反应时间短,因此对跟踪滤波算法要求较高。引入具有实时应用的自适应H_∞滤波器,比较标准卡尔曼滤波而言,这种滤波器对不确定情况有更好的滤波性能。将这种滤波器应用到跟踪算法中,可以对模型不确定性取得良好的滤波效果。仿真结果表明,在高速高机动反舰导弹目标高机动情况下跟踪,该实时滤波算法是有效的。

With the development of technology, Anti-ship missiles have faster and higher maneuve- ring, so the reaction time for ships is less and good methods are required in tracking algorithm. An adap- tive version of H∞ filter which has a practical real-time implementation is developed. When used in tracking algorithm, the new filter yields improved worst-case performance in the case of model uncertainties. The simulation results indicate that the real-time anti-ship missile tracking algorithm can maintain track under severe correlates maneuvers.