改进的对数衰减动态非视距定位

doi:10.3969/j.issn.0255-8297.2014.04.006

应用科学学报 ›› 2014, Vol. 32 ›› Issue (4): 372-378.doi: 10.3969/j.issn.0255-8297.2014.04.006

改进的对数衰减动态非视距定位

王日明1,2，冯久超1

1. 华南理工大学电子与信息学院，广州510641
2. 广东工业大学信息工程学院，广州510006

收稿日期:2013-12-01 修回日期:2014-04-03 出版日期:2014-07-31 发布日期:2014-04-03
作者简介:王日明，博士生，研究方向：无线传感器网络、统计信号处理，E-mail：wangriming@163.com；冯久超，教授，博导, 研究方向：数字信号处理、数字通信、非线性动力学及混沌理论与应用，E-mail：fengjc@scut.edu.cn
基金资助:
国家自然科学基金(No.60872123, No.61101014)；国家自然科学基金委员会(NSFC)-广东省人民政府自然科学联合基金(No.U0835001)；广东省高层次人才基金(No.N9101070)资助

Improved Localization in Dynamic Non-line-of-Sight Environments Using a Modified Log Path-Loss Model

WANG Ri-ming1,2, FENG Jiu-chao1

1. School of Electronic and Information Engineering, South China University
of Technology, Gongzhou 510641, China
2. School of Information Engineering, Guangdong University of Technology, Gongzhou 510006, China

Received:2013-12-01 Revised:2014-04-03 Online:2014-07-31 Published:2014-04-03

摘要/Abstract

摘要： 在一般对数衰减模型中衰减因子是一个常量，但在实际应用中会引起较大的测距定位误差. 为了减少定位估计误差，在对Zigbee 组网定位实验数据进行统计分析的基础上，提出用负指数函数来描述衰减因子与距离（目标节点与锚节点间距）之间的关系，进而建立一种改进对数衰减模型；给出一个基于改进对数衰减模型的ML 估计器，并推导了该估计器的Cramer-Rao下界(Cramer-Row lower bound, CRLB). 在实验室和车站站场的Zigbee 组网定位实验结果表明，使用改进对数衰减模型的ML 估计器能提供更准确的定位估计，对场景变化有较好的适应性.

关键词: 对数衰减模型, 接收信号强度, 最大似然估计, 非视距, 无线定位, Cramer-Rao 下界

Abstract: To reduce estimation error caused by static path loss factor in a log path-loss model, a modified log path-loss model is proposed in this paper based on statistical analysis on the Zigbee localization experimental data. In this model, a negative exponent function is used to describe the distance relation of the path loss factor with target nodes and fixed nodes to improve performance of the traditional log path-loss model. A maximum likelihood (ML) estimator and the corresponding Cramer-Rao lower bounds is then proposed and derived. Results of Zigbee localization experiments in laboratory and bus station demonstrate good performance with accurate localization and flexibility for varying environments.

Key words: log path-loss model, received signal strength (RSS), maximum likelihood estimation (MLE), nonline-of-sight (NLOS), wireless localization, Cramer-Rao lower bound (CRLB)

中图分类号:

TN911.7

王日明1,2，冯久超1. 改进的对数衰减动态非视距定位[J]. 应用科学学报, 2014, 32(4): 372-378.

WANG Ri-ming1,2, FENG Jiu-chao1. Improved Localization in Dynamic Non-line-of-Sight Environments Using a Modified Log Path-Loss Model[J]. Journal of Applied Sciences, 2014, 32(4): 372-378.

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改进的对数衰减动态非视距定位

Improved Localization in Dynamic Non-line-of-Sight Environments Using a Modified Log Path-Loss Model

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