电子科技大学学报2017，Vol.46Issue(4)：530-533,4.DOI:10.3969/j.issn.1001-0548.2017.04.009
基于量化信息的无线传感器网络多声源定位研究
Multi-Acoustic Source Localization Based on Quantized Data for Wireless Sensor Networks
摘要
Abstract
In this paper, we focus on the multi-acoustic source localization algorithm based on wireless sensor networks. First, the logarithm quantization strategy is proposed for the propagation characteristics of the ultrasonic source. The nodes calculate the quantized data according to the quantization strategy and the measured value, and transmit the quantized data to the base station. The base station then estimates the localization of the acoustic source with the proposed multi-acoustic source localization algorithm based on the likelihood C-means clustering algorithm. The effectiveness of the proposed algorithm under different parameters is verified and the simulation results show that the proposed algorithm can estimate the position of the multi-acoustic source more accurately and has some robustness to packet loss rate.关键词
定位/多源/可能性C均值聚类/量化信息/无线传感器网络Key words
localization/multi-acoustic source/possibilistic C-means clustering algorithm/quantization/wireless sensor networks分类
信息技术与安全科学引用本文复制引用
刘韵婷,井元伟,张嗣瀛..基于量化信息的无线传感器网络多声源定位研究[J].电子科技大学学报,2017,46(4):530-533,4.基金项目
国家自然科学基金(61304021) （61304021）
辽宁省自然科学基金(20170540788) （20170540788）
