天基红外预警卫星高精度协同目标跟踪方法

High precision cooperation target tracking method for space-based infrared early-warning satellite

天基红外预警卫星是跟踪助推段目标的主要手段。为提升目标跟踪精度,提出了量化噪声条件下的协同目标跟踪方法。首先,基于助推段运动特性,建立了符合运动特性且形式简单的助推段运动模型;然后,分析了天基红外预警卫星量测的量化特性,提出了量化噪声模型;量化噪声条件下,传统滤波方法不再适用,为此提出了一种基于量化测量的最小均方误差状态估计算法,其时间更新基于非线性函数的一阶线性化,测量更新基于量化测量的条件均值估计。最后,数学仿真表明,相对于传统基于加性均匀噪声假设的方法,所提方法位置估计精度提升了23%。

Space-based infrared early-warning satellite is the main way to track boost phase target.To improve the tracking accuracy,a cooperation target tracking method is proposed.Firstly,a simple yet effective boost-phase motion model is given based on the motion characteristic of boost-phase;Secondly,the quantization characteristic of SBIRC measurement is analyzed,and a quantized noise model is derived;Furthermore,a novel state estimation algorithm is proposed based on the minimum mean square error estimation with quantized measurements,in which the time update is based on first-order linearization of nonlinear function,the measurement update is based on the conditional mean estimation of given quantized measurements.Finally,mathematical simulation shows that the position estimation accuracy of the proposed algorithm is improved by 23%compared with the traditional method based on additional uniform noise(AUN)assumption.