Robust Acoustic Source Localization in Energy-stringent Sensor Networks  

作　　者：LIU Yong PAN Quan YU Hen Hu LIANG Yan 

机构地区：[1]Northwestern Polytechnical University, Xi'an 710072, China [2]University of Wisconsin-Madison, Madison WI 53705, USA

出　　处：《Chinese Journal of Electronics》2012年第2期332-338,共7页电子学报（英文版）

基　　金：Manuscript Received July 2010; Accepted Nov. 2011. This work is supported by the National Natural Science Foundation of China （No.61075029, No.61074179, No.61135001）.

摘　　要：This work focuses on robust acoustic source localization in sensor networks with limited energy reserve, e.g. Wireless sensor networks （WSN）. Real-world data re- vealed that the acoustic energy gathered at sensors ex- hibits a heavy-tail, non-Gaussian characteristic and should be fitted into a contaminated Gaussian model. This prop- erty causes conventional least square and maximum like- lihood based localization methods ineffective. Hence an Energy-efficient robust acoustic source localization proto- col （ERASLP） is proposed. With the ERASLP, each sen- sor receives observations from neighbors then examines its observation by a Local outlier rejection rule （LORR） such that detected outliers are not sent to the fusion center in order to reserve energy and reduce fusion risk. Fur- ther analysis show that the communication energy cost of ERASLP is related to the node density and outlier prob- ability. Simulations show that LORR effectively surpasses outliers and that ERASLP has better tradeoff between ro- bustness and energy consumption in most cases.

关 键 词：Acoustic energy Localization Robust-ness Outlier detection Wireless sensor networks M-estimates Impulsive noise. 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TK01[自动化与计算机技术—控制科学与工程]