Source Localization for Uniform Noise Maximum Likelihood Estimation Method and Iterative Algorithm Based on AOA

被引：0
|
作者：
An Qin-li [1 ]
Chen Jian-feng [1 ]
Yin Zhong-hai [2 ]
机构：
[1] Northwestern Polytech Univ, Coll Marine, Xian 710072, Peoples R China
[2] Air Force Engn Univ, Coll Sci, Xian 710051, Peoples R China
来源：
COMPUTER APPLICATIONS FOR COMMUNICATION, NETWORKING, AND DIGITAL CONTENTS | 2012年 / 350卷
关键词：
target localization; uniform noise; least squares estimation(LSE); maximum likelihood estimation(MLE); angle of arrival (AOA); root mean square(RMS); LOCATION; NETWORKS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
maximum likelihood estimation(MLE) method and iterative algorithm based on Uniform noise,which is the same for every sensor in the network, for localizing a source based on angle of arrival (AOA) measurements are presented. We compare MLE iterative method along with least squares estimation(LSE) approach through a number of simulations at various signal to noise levels and target to localization. We find that MLE iterative algorithm is less error and more robust to noise disturbance than LSE method.
引用
收藏
页码：10 / +
页数：2
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