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

Bo Cheng, Cailian Chen, Zhezhuang Xu, Haoran Li, X. Guan
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引用次数: 1

Abstract

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.
基于无线传感器网络的声源定位:一种GCC-GA方法
在无线传感器网络中,音频源的定位是一项非常重要且具有挑战性的任务。一种有效的音源定位方法是基于到达时差(TDOA)的方法。本文提出了一种基于广义交叉相关遗传算法(GCC-GA)的定位方法。利用GCC方法计算TDOA和遗传算法来提高定位精度。该方法在一个真实的网格无线传感器网络中得到了实现。实验结果表明,该网络能够以较低的复杂度和较高的精度估计源位置。
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