Title :
Weighted Least Square Source Localization Theory in an Underwater Wireless Sensor Array Network
Author :
Shi, Xing ; Ma, Yan
Author_Institution :
Coll. of Marine, Northwestern Polytech. Univ., Xi´´an, China
Abstract :
With novel underwater wireless sensor array network architecture, the weighted least square (WLS) source localization method is developed. In this method, each sensor node is attached to a local sensor array which can estimated Signal-Noise-Ratio (SNR) as well the local direction-of-Arrival (DOA). Global localization can combined with estimated DOA selected by SNR. The target position can be fused by the coordinate relationship to form the linear equation set. Very promising simulation results demonstrated the feasibility of such a new approach for underwater wireless sensor network.
Keywords :
direction-of-arrival estimation; least squares approximations; underwater acoustic communication; wireless sensor networks; DOA; SNR; direction-of-arrival; signal-noise-ratio; underwater wireless sensor array network; weighted least square source localization; Accuracy; Acoustics; Arrays; Direction of arrival estimation; Estimation; Signal to noise ratio; Wireless sensor networks;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5601370
