本文研究了在没计跟踪目标用的卡尔曼滤波器过程中关于解矩阵Riccati微分方程问题,用代数转换方法减少Riccati微分方程的阶次,并获得滤波器增益的显表达式(以拦截器/目标的间隔距离表示),该表达式导致与估算目标状态有关的计算机负担显著减少。本文还针对接收机热噪声和目标闪烁噪声等情况论证了转换技术的适用范围。 In this paper, the problem of solving Riccati differential equations in the matrix without tracking the target Kalman filter is studied. The algebraic transformation method is used to reduce the orders of Riccati differential equations and obtain the explicit expression of the filter gain (with interceptor / Target separation distance), this expression leads to a significant reduction in the computer burden associated with estimating the target state. This article also demonstrates the applicable range of the conversion technology for the receiver thermal noise and target flicker noise.