摘要
提出了一种基于信息级的T-Rn型多基地系统目标协同定位方法,阐述了该定位方式的原理以及具体流程。首先单个接收站根据时间差-测向信息进行定位,然后主站中心利用加权最小二乘算法对4个接收站的定位结果进行融合。在推导出测距和定位误差公式后,分析了影响定位精度的几个因素,用几何稀释精度(GDOP)对定位误差做出分析,并推导出该算法的理论误差性能下界。仿真实验表明,融合后主站的定位精度明显高于单个接收站,且逼近于误差的克拉美罗下界(CRLB),具有一定的工程应用价值。
An information-level T-Rn type cooperating target localization method of the muhi-station system is proposed in this pa- per, in which the concrete process is expounded of this kind of localization way. Firstly, single receivers complete the localization according to time-difference-direction-measurement information. Then, the center station applies the weighted least squares（WLS） to merge together the localization results of the four receivers. After deducing the ranging and localization error formulas, several factors affecting the localization precision are analyzed while geometrical dilution of precision （GDOP） is applied to analyze the lo- calization error and the theoretical lower bound of error performance is deduced. It is demonstrated in the simulating experiment that the localization precision of the center station is much higher than that of a single receiver, reaching the Cramer-Rao lower bound （ CRLB ） of the error, having a kind of engineering applying value.
出处
《现代雷达》
CSCD
北大核心
2015年第10期34-38,共5页
Modern Radar
基金
陕西省自然科学基金资助项目(2012JQ8019)
关键词
目标定位
加权最小二乘算法
几何稀释精度
克拉美罗下界
target localization
weighted least squares
geometrical dilution of precision
Cramer-Rao lower bound
