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随着精确制导武器的发展和光电探测、制导技术的进步,红外光电导引头和雷达导引头的复合制导方式成为研究热点。针对机动目标的跟踪问题,采用自适应机动目标的“当前”统计模型,推导出自适应转换坐标卡尔曼滤波(ACMKF)方法,并进行了目标跟踪仿真分析。仿真表明,ACMKF在跟踪机动目标时,对于非线性情况适应性强,位置、速度和加速度滤波误差小,稳定性好。ACMKF通过对机动目标的自适应估计,性能优于一般的转换坐标卡尔曼滤波(CMKF)方法,在复合制导跟踪机动目标方面具有很好的工程应用前景。
With the development of precision guided weapons and the advancement of guidance and detection technology, the composite guidance method of infrared seeker and radar seeker has become a research hotspot. In order to solve the tracking problem of maneuvering target, the self-adapting coordinate transformation Kalman filter (ACMKF) method is derived by using the “current” statistical model of adaptive maneuvering target, and the target tracking simulation is carried out. The simulation shows that ACMKF has good adaptability to non-linear conditions and less errors of position, velocity and acceleration filtering and good stability when tracking maneuvering targets. Through adaptive estimation of maneuvering targets, ACMKF has better performance than general conversion coordinate Kalman filter (CMKF) method and has good engineering application prospect in maneuvering targets with composite guidance.