摘要
针对单站无源定位可观测性弱,收敛速度慢,定位精度差等问题,在此采用综合利用相位差变化率、多普勒变化率对目标进行定位的方法。在此基础上,将一种新的非线性算法即平方根UKF算法应用单站无源定位中,计算机仿真表明在不同的参数测量精度条件下,新算法稳定性更高,收敛速度更快,定位精度更高。
In order to enhance the observability,increase the convergence speed and improve the positioning accuracy in the single observer passive location,a model is presented based on Doppler frequency changing rate and phase changing rate.The square root unscented Kalman filter（UKF） algorithm as a new nonlinear filtering method is introduced to the single observer passive location system.Simulation results show that the new method has a stable performance,high convergence speed and high positioning accuracy in different conditions.
出处
《现代电子技术》
2012年第1期132-134,138,共4页
Modern Electronics Technique
关键词
单站无源定位
平方根UKF
相位差变化率
多普勒变化率
single observer passive location
square root unscented Kalman filter
phase changing rate
Doppler changing rate
作者简介
于清津男，1972年出生，河北衡水人，工程师。主要研究方向为雷达测控。
