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

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WICOM.2010.5601370

Filename

5601370