传感技术学报2017，Vol.30Issue(10)：1572-1577,6.DOI:10.3969/j.issn.1004-1699.2017.10.020
无线传感网络中基于测距修正的定位算法
Localization Algorithm Based on Modifying Average Hop Distance in Wireless Sensor Networks
摘要
Abstract
In order to improve the localization accuracy of DV-Hop,Unscented Kalman Filtering( UKF) Localization algorithm based on modifying average hop distance ( UKF-DV-Hop ) is proposed in this paper. Firstly, the he structure of data packets by anchor nodes with broadcasting is changed,then average hop distance error is modified, in order to reduce the ranging error. An inaccurate position coordinate of the unknown node was obtained by least square estimation ( LSE ) , and an accurate node localization method was achieved by using UKF. Numerous simulation results show that normalized average localization error ratio of UKF-DV-Hop algorithm is about 40% less than that of traditional DV-Hop algorithm.关键词
无线传感网络/定位/DV-Hop/跳距/无迹卡尔曼滤波Key words
wireless sensor network/localization/DV-Hop algorithm/Hop distance/unscented kalman filtering分类
信息技术与安全科学引用本文复制引用
田丽芳,徐慧娟..无线传感网络中基于测距修正的定位算法[J].传感技术学报,2017,30(10):1572-1577,6.基金项目
河南省科技发展计划项目(132102210020) （132102210020）
