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Wireless sensor networks based localization for audio-source: A GCC-GA method

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5 Author(s)
Bo Cheng ; School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China ; Cailian Chen ; Zhezhuang Xu ; Haoran Li
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It is a very important and challenging task to localize an audio-source in wireless sensor networks (WSNs). One of efficient methods for audio-source localization is the so-called time difference of arrival (TDOA) based approach. In this paper, we propose a novel localization method based on Generalized Cross Correlation-Genetic Algorithm (GCC-GA). It utilizes GCC method to calculate the TDOA and GA to improve the localization accuracy. The proposed method is implemented in a real grid wireless sensor network. The experimental results show that the network can estimate the source location with better accuracy and lower complexity.

Published in:

World of Wireless Mobile and Multimedia Networks (WoWMoM), 2010 IEEE International Symposium on a

Date of Conference:

14-17 June 2010