Maximum Likelihood Source Localization in UWSAN using Acoustic Energy

被引：0
|
作者：
Ma, Yan [1 ]
Shi, Xing [1 ]
机构：
[1] Northwestern Polytech Univ, Coll Marine, Xian 710072, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
Underwater wireless sensor array network; maximum likelihood estimator; source localization; acoustic energy;
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：
With novel underwater wireless sensor array network (UWSAN) architecture that consists of multiple distributed arrays of acoustic sensors, maximum likelihood localization based on acoustic energy is proposed for solving the source localization in underwater and low signal to noise ratio. The exactly maximum likelihood (ML) target location estimator is derived. Very impressive simulation results demonstrated the feasibility of such a new approach for underwater wireless sensor network (UWSN). And comparison with the single sensor UWSN, the performance of localization is improved, especially in low SNR.
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页数：4
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