论文部分内容阅读
本文讨论了以测时差法从地面对空中匀速运动辐射源进行无源定位与跟踪的问题,并运用推广的卡尔曼滤波算法进行数据处理以提高定位与跟踪的精度,研究了滤波器初始条件的确定方法及对滤波器的敛散性进行自动监测的方法,还介绍了用计算机对系统进行模拟的过程,并对部分模拟结果进行了初步的分析。分析与模拟的结果表明,推广的卡尔曼滤波方法应用于测时差无源跟踪系统是行之有效的。
In this paper, we discuss the problem of passive location and tracking from the ground to the airborne uniform motion radiation source by time-difference method and use the extended Kalman filter algorithm to improve the positioning and tracking accuracy. The initial conditions of the filter And the method of automatic monitoring of the filter’s convergence and divergence. The process of simulating the system by computer is also introduced. Some of the simulation results are analyzed preliminarily. The results of analysis and simulation show that the proposed Kalman filtering method is effective in time-difference passive tracking system.