传感技术学报Issue(2)：234-238,5.DOI:10.3969/j.issn.1004-1699.2015.02.015
基于AIUKF的WSN节点定位算法∗
Adaptive Iterated UKF Based Node Localization for WSN
摘要
Abstract
In this paper,by combining iterative constraint conditions and adaptive factor,an adaptive iterated un￣scented Kalman filter( AIUKF) algorithm is presented to improve the node localization accuracy in Wireless Sensor Network( WSN),which is based on the unscented Kalman filter( UKF) . According to the model of range￣based lo￣calization algorithm,RSSI is used to measure the distance;the maximum likelihood estimation method is utilized to realize node initial location;by using AIUKF algorithm to achieve the accurate positioning of the node finally and RSSI is applied as the measurement values of observation equation directly. The simulation results show that the proposed algorithm based on AIUKF has the best positioning precision than EKF algorithm and UKF algorithm.关键词
无线传感器网络/节点定位/AIUKF/UKF/自适应因子Key words
WSN/node localization/AIUKF/UKF/adaptive factor分类
信息技术与安全科学引用本文复制引用
欧县华,武宪青,何熊熊..基于AIUKF的WSN节点定位算法∗[J].传感技术学报,2015,(2):234-238,5.基金项目
“十二五”国家科技支撑计划项目(2013BAF07B03)；国家自然科学基金项目(61473262)；浙江省重大科技专项项目(2011C13011) （2013BAF07B03）
