摘要
针对现有算法无法满足在不同环境中对定位精度的要求,提出一种基于测距定向的分步求精定位算法(stepwise refine-ment localization algorithm based on ranging and orientation,SRLRO)。通过分析环境因素对RSSI(received signal strength indica-tion)测距的影响,算法首先建立RSSI测距定向模型,确定指向待定位节点所在较小区域的多条直线,通过质心算法求这些直线交点的质心。为了进一步提高算法精度,算法采取了一些优化规则。仿真和实验表明,在不同环境因素的影响下,算法都具有较高的定位精度。
Most existing localization algorithms can not meet the requirements of localization accuracy in different environment.In this paper,stepwise refinement localization algorithm based on ranging and orientation（SRLRO） is proposed.Through analyzing the impact of environmental factors on RSSI（received signal strength indication） ranging,we can get a model of RSSI ranging and orientation,which can determine a few straight lines that pass through the small area where the unknown node locates.Then,we can find the centroid of the intersections of these straight lines with centroid algorithm.In order to further improve the localization accuracy of the algorithm,some optimization rules are adopted.Simulation and experimental results show that under the influence of different environmental factors,the algorithm still has high localization accuracy.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2012年第5期976-984,共9页
Chinese Journal of Scientific Instrument
基金
国家科技重大专项(2009ZX07528-003-09)
重庆市科技攻关计划(CSCT
2010AA2036)资助项目
关键词
无线传感器网络
定位
测距定向
质心
分步求精
wireless sensor network
localization
ranging and orientation
centroid
stepwise refinement
作者简介
高鹏，现为重庆大学博士研究生，主要研究方向无线传感器网络、普适计算等。E-mail：jallenwe1112@126．com石为人，现为重庆大学教授、博士生导师，主要研究方向为信息控制与智能系统、无线传感器网络及其应用、嵌入式系统、普适计算等。
