摘要
单站多点测向交叉定位是单站无源定位技术中较重要的一个分支,目前工程上应用广泛。当测向精度不高的时候,需要首先对方位角进行卡尔曼滤波,提高方位角估计精度后再进行定位,但是,如果单站定位工作时间较长,采用传统线性卡尔曼滤波方法,方位角精度将逐步恶化,最终导致定位结果变差。针对此问题,给出了一种基于分段线性KF的处理方法。仿真结果表明,基于分段线性KF处理的定位算法可以解决定位工作时间较长,定位结果变差的问题,对提高定位精度和缩短定位收敛时间有较显著效果。这种方法简单适用,可以回避EKF,MGEKF等算法中对雅克比矩阵的复杂计算。
The single station, multi-point bearing cross location is an important embranchment of sin- gle observation passive location technology, which is widely used in engineering at present. If direction-finding precision is not satisfied, it must introduce Kalman filter to process azimuth data before locating, which can improve the direction-finding precision. However, if the single station works longer time and the azimuth data is processed by traditional linear Kalman filter, the location precision will degrade because of degeneration of the direction-finding accuracy. A method based on the piecewise linear Kalman Filter is presented. The simulation results demonstrate this method can solve the problem mentioned above and has the remarkable effect on improving the location accuracy and shortening the convergence time. This method is simple, applicable, and can avoid complicated computing Jacobian matrix in extended Kalman filter （EKF） or modified gain EKF （MGEKF） algorithm.
作者
黄雪梅
HUANG Xue-mei(Southwest China Institute of Electronic Technology, Sichuan Chengdu 610036, China)
出处
《现代防御技术》
北大核心
2017年第1期113-118,共6页
Modern Defence Technology
关键词
单站
方位角
测向交叉定位
分段线性卡尔曼滤波
无源定位
扩展卡尔曼滤波
single observer
azimuth
bearing cross location
piecewise linear Kalman filter
passive location
extended Kalman filter （EKF）
作者简介
黄雪梅（1982-），女，四川自贡人。工程师，硕士，主要研究方向为阵列信号处理。通信地址：610036四川省成都市金牛区营康西路85号电子十所四部E-mail：14461364@qq．com
