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针对强机动目标的跟踪问题,提出了一种基于两层嵌套模型的强机动目标跟踪算法,以改进“当前统计”(current statistical,CS)作为内模型;利用滤波残差构造统计量,对目标机动进行检测,根据检测结果在线修正“CS”模型参数以适应目标的机动;以“曲线”(curve linear,CL)模型为外模型,它以改进的“CS”模型的目标加速度估计值作为输入参数,利用CL模型可以较好近似目标曲线运动的特点,实现对强机动目标进行高精度稳定跟踪。仿真验证了算法的有效性。
Aiming at the tracking problem of strong maneuvering targets, a robust maneuvering target tracking algorithm based on two-level nested model is proposed to improve the current statistical (CS) model and construct the statistics , The target maneuver is detected and the “CS” model parameters are modified online to fit the maneuvering of the target based on the test results; the “curve linear” (CL) "Model of the target acceleration estimate as an input parameter, the use of CL model can be better approximation of the characteristics of the target curve movement, to achieve high-precision and stable maneuvering target tracking. Simulation shows the effectiveness of the algorithm.