Acoustic Source Localization in Noisy Wireless Sensor Networks

摘要：

Target localization is one of the typical applications of wireless sensor networks. However, there are few localization algorithms addressing the problems caused by both the noisy wireless channels and the limited sensing range and energy of sensor nodes. In this paper, a new source localization algorithm based on maximum likelihood (ML) estimation incorporating wireless channel impact is proposed. The Cramer-Rao Bound (CRB) of the ML acoustic source location estimate has been derived to analyze the accuracy of location estimations. Extensive simulations have been conducted. The results show that this proposed ML method can reach its CRB performance bound with relatively small amount of data and consistently outperforms the source localization methods without considering the channel impact.

关键词： sensor networks wireless channels target orientation acoustic sensor.

作者: FanJiang Xu ZhiTang Li WeiMing Li

作者单位: School of Computer,Huazhong University of Science and Technology,WuHan,430074,China;Institute of Sof School of Computer,Huazhong University of Science and Technology,WuHan,430074,China

会议类型: 国际会议

会议名称: The IET 2nd International Conference on Wireless,Mobile & Multimedia Networks(第二届IET国际无线移动多媒体网络会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）