现代电子技术2017，Vol.40Issue(11)：6-9,13,5.DOI:10.16652/j.issn.1004-373x.2017.11.002
基于RSSI高斯滤波的LSSVR无线传感网络定位算法
LSSVR wireless sensor network location algorithm based on Gaussian filter RSSI
摘要
Abstract
In order to minimize the influence of range-finding error of received signal strength index(RSSI)on node localiza-tion,and solve the problem of big location error existing in localization algorithm based on RSSI range-finding,a least-squares support vector regression location algorithm based on Gaussian filter RSSI(LSSVR-GF-RSSI)is proposed. The LSSVR-GF-RSSI algorithm uses the Gaussian function to filter the RSSI values with big error,and screen out the accurate RSSI values. According to the above values,the distance between the unknown node and anchor node is calculated. The distance is used as the input of LSSVR to establish the LSSVR location algorithm model based on RSSI range-finding to estimate the location of unknown node. The simulation results show that the LSSVR-GF-RSSI algorithm can reduce the mean square localization error effectively,which is 12%~20% lower than that of the traditional LSSVR localization algorithm based on RSSI.关键词
接收信号强度/最小二乘支持向量回归机/高斯函数/定位/无线传感网络Key words
received signal strength/least-square support vector regression/Gaussian function/localization/wireless sen-sor network分类
信息技术与安全科学引用本文复制引用
钟阳晶,梁茹冰,黄小虎..基于RSSI高斯滤波的LSSVR无线传感网络定位算法[J].现代电子技术,2017,40(11):6-9,13,5.基金项目
广东省自然科学基金博士启动项目(2015A030310365) （2015A030310365）
