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3D-RABLC:一种基于LQI置信度的三维空间定位求精算法
引用本文:舒 坚,刘琳岚,陈宇斌,龚佳杰.3D-RABLC:一种基于LQI置信度的三维空间定位求精算法[J].通信学报,2012,33(7):125-134.
作者姓名:舒 坚  刘琳岚  陈宇斌  龚佳杰
作者单位:1. 南昌航空大学物联网技术研究所,江西南昌330063;南昌航空大学软件学院,江西南昌330063
2. 南昌航空大学物联网技术研究所,江西南昌330063;南昌航空大学信息工程学院,江西南昌330063
3. 福建星网锐捷网络有限公司,福建福州,350002
基金项目:国家自然科学基金,江西省科技支撑计划重点基金
摘    要:提出一种基于LQI置信度的三维空间定位求精算法(3D-RABLC)。通过大量节点实验,获得节点间一跳RSSI值与距离的关系、LQI与分组错误率的关系,依此划分LQI置信度,对测得的RSSI值进行过滤,建立三维多跳求精模型或弥补求精方法对置信度低的RSSI值进行修正。节点实验表明,该算法大大降低了RSSI测距误差,比已有三维定位算法具有更好的定位精度。

关 键 词:无线传感器网络  三维空间定位  LQI置信度  RSSI  定位求精

3D-RABLC: a novel refinement algorithm based on LQI confidence for three-dimensional localization
SHU Jian , LIU Lin-lan , CHEN Yu-bin , GONG Jia-jie.3D-RABLC: a novel refinement algorithm based on LQI confidence for three-dimensional localization[J].Journal on Communications,2012,33(7):125-134.
Authors:SHU Jian  LIU Lin-lan  CHEN Yu-bin  GONG Jia-jie
Institution:1.Internet of Things Technology Institute,Nanchang Hangkong University,Nanchang 330063,China;2.School of Software,Nanchang Hangkong University,Nanchang 330063,China;3.School of Information Engineering,Nanchang Hangkong University,Nanchang 330063,China;4.Fujian Xingwang Ruijie Networks Ltd.Co.,Fuzhou 350002,China)
Abstract:A novel refinement algorithm based on LQI confidence for three-dimensional localization(3D-RABLC) was proposed.LQI confidence was obtained in terms of the relationships between RSSI and one hop distance,LQI and packet error rate(PER),which derived from experimental data.The measured RSSI was filtered by LQI confidence.Moreover,the RSSI with lower confidence was modified by a three-dimensional multi-hop model or a compensating refinement method.The experiment results show that the algorithm reduces the RSSI range error,and improves the accuracy of three-dimensional localization significantly.
Keywords:wireless sensor network  three-dimensional localization  LQI confidence  RSSI  location refinement
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