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基于最佳线性无偏估计的双基地雷达走位方法
引用本文:郭徽东,章新华,王为颂,叶琼龙.基于最佳线性无偏估计的双基地雷达走位方法[J].兵工学报,2007,28(5):533-538.
作者姓名:郭徽东  章新华  王为颂  叶琼龙
作者单位:大连舰艇学院信号与信息技术研究中心,辽宁大连116018
摘    要:利用坐标转换后的伪测量值,根据最佳线性无偏估计原理,提出一种双基地雷达目标的定位方法并给出了算法定位误差的Cramer-Rao理论下限表达式,在不同噪声条件下对算法进行仿真计算,结果表明该方法可以显著提高双基地雷达目标的定位精度,其理论下限和仿真结果都明显优于最小二乘方法。

关 键 词:声学      双基地雷达      定位      最佳线性无偏估计      Cramer-  Rao下限  
文章编号:1000-1093(2007)05-0533-06
修稿时间:2006-11-28

Bistatic Radar Localization Based on Best Linear Unbiased Estimation
GUO Hui-dong,ZHANG Xin-hua,WANG Wei-song,YE Qiong-long.Bistatic Radar Localization Based on Best Linear Unbiased Estimation[J].Acta Armamentarii,2007,28(5):533-538.
Authors:GUO Hui-dong  ZHANG Xin-hua  WANG Wei-song  YE Qiong-long
Affiliation:Signal ana Information Research Center, Dalian Naval Academy, Dalian 116018,Liaoning, China
Abstract:According to the principle of best linear unbiased estimation, A target localization algorithm for bistatic radar was proposed by pseudo measuring value after coordinate conversion. The expression of the Cramer-Rao lower bound for bistatic radar was given. The numerical simulation of the algorithm was carried out at different noise conditions. Simulation results show that the target localization accuracy for bistatic radar is effectively improved, and the Cramer-Rao lower bound and simulation results are better than that of a weighted least square method.
Keywords:acoustics  bistatic radar  localization  best linear unbiased estimation  Cramer-Rao lower bound
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