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本文提出一种简单易行的无源测距后置最佳处理方法。这种方法是应用线性最小方差(LMV,Linear Minimum Variance)方法于线性运动系统的状态估计而得到的,其结果是对每次观测作统计平均处理,最佳的加权系数满足一个线性方程。目标运动的基本假设是在一段观测时间中保持常速度,并有随机速度扰动。二个计算机模拟实验结果表明,这方法收敛速度和性能良好,无发散现象,对目标机动情况也能很好适应。计算机实现简单,计算量很小。
This paper presents a simple and feasible passive ranging post-optimal processing method. This method is based on the Linear Minimum Variance (LMV) method for the state estimation of linear motion systems. The result is a statistical averaging of each observation, with the best weighting coefficients satisfying a linear equation. The basic assumption of target motion is to maintain constant velocity over a period of observation with random velocity perturbations. Two computer simulation results show that the convergence rate and performance of this method is good, no divergence phenomenon, the target maneuver can also be well adapted. The computer is simple to implement and the calculation is very small.