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Bistatic Sonar Localization Based on Best Linear Unbiased Estimation
作者姓名:宋元  章新华  郭徽东  王芳
作者单位:Department of Information and Communication Engineering, Dalian Naval Academy, Dalian 116018, China
摘    要:A best linear unbiased estimation (BLUE) algorithm for bistatic sonar localization is proposed. The Cramer-Rao bound for bistatic Sonar and the geometrical dilution of precision (GDOP) in different conditions are given. The simulation results show that the location accuracy of BLUE algorithm is higher than the weighted least square method.

关 键 词:声学  收发分置声纳  局部化  Cramer-Rao跃进
文章编号:1673-002X(2007)04-0292-05
收稿时间:2007-05-24

Bistatic Sonar Localization Based on Best Linear Unbiased Estimation
SONG Yuan,ZHANG Xin-hua,GUO Hui-dong,WANG Fang.Bistatic Sonar Localization Based on Best Linear Unbiased Estimation[J].Journal of China Ordnance,2007,3(4):292-296.
Authors:SONG Yuan  ZHANG Xin-hua  GUO Hui-dong  WANG Fang
Abstract:A best linear unbiased estimation (BLUE) algorithm for bistatic sonar localization is proposed. The Cramer-Rao bound for bistatic sonar and the geometrical dilution of precision (GDOP) in different conditions are given. The simulation results show that the location accuracy of BLUE algorithm is higher than the weighted least square method.
Keywords:acoustics  bistatic sonar  localization  BLUE  Cramer-Rao bound  Estimation  Linear  Best  Based  Localization  simulation results  show  location  accuracy  weighted least square method  different  conditions  GDOP  bound  dilution of precision  algorithm  sonar  localization  BLUE  best
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