主页期刊介绍编委会编辑部服务介绍道德声明在线审稿编委办公编辑办公English
2018-2019年专刊出版计划 微信服务介绍 最新一期:2018年第12期
     
在线出版
各期目录
纸质出版
分辑系列
论文检索
论文排行
综述文章
专刊文章
美文分享
各期封面
E-mail Alerts
RSS
旧版入口
中国科学院软件研究所
  
投稿指南 问题解答 下载区 收费标准 在线投稿
吴绍华,张乃通.基于UWB的无线传感器网络中的两步TOA估计法.软件学报,2007,18(5):1164-1172
基于UWB的无线传感器网络中的两步TOA估计法
A Two-Step TOA Estimation Method for UWB Based Wireless Sensor Networks
投稿时间:2006-12-29  修订日期:2007-02-14
DOI:
中文关键词:  线传感器网络(wireless sensor network)  UWB(ultra wideband)  测距  TOA(time of arrival)估计  能量检测  匹配滤波
英文关键词:wireless sensor network  UWB (ultra wideband)  ranging  TOA (time of arrival) estimation  energy-detection  match-filtering
基金项目:Supported by the Major Program of the National Natural Science Foundation of China under Grant No.60432040 (国家自然科学基金重点项目)
作者单位
吴绍华 哈尔滨工业大学,电子与信息技术研究院,黑龙江,哈尔滨,150001 
张乃通 哈尔滨工业大学,电子与信息技术研究院,黑龙江,哈尔滨,150001 
摘要点击次数: 5125
全文下载次数: 3795
中文摘要:
      为了设计一种以较小运算量获得较高测距精度的TOA(time of arrival)估计算法以适合节点运算能力有限的UWB(ultra wideband)线传感器网络,提出了一种结合能量检测与匹配滤波的两步TOA估计方法.分析了该方法的工作原理,指出了第1步中DP(direct path)块检测成功率及第2步中匹配滤波门限因子设置的重要性.通过仿真对影响DP块检测成功率的两个因素,即DP块检测算法的选用和能量积分周期的设置进行了讨论.提出了依据能量采样序列中DP块与最小块比值DMR(DP to minimum energy sample ratio)动态设置匹配滤波门限因子的思想,并为其建立了数学模型.仿真结果表明,两步TOA估计方法在运算量比单一的基于匹配滤波的相干算法小很多的情况下,获得了比单一的基于能量检测的非相干方法更好的TOA估计性能,从而更适合应用于有低复杂度、低能耗设计需求的传感器节点中.
英文摘要:
      In order to design a low-calculation and high-precision TOA (time of arrival) estimation algorithm for UWB (ultra wideband) based wireless sensor network (WSN), a two-step TOA estimation method which jointly employs energy-detection (ED) and match-filtering (MF) is proposed in this paper. Based on analyzing the principles of the two-step method, it is pointed out that the success rate of DP (direct path) block detection in the first step and the setting of MF-threshold-factor in the second step are the key issues that affect the performance of the method. Algorithm selection of the first step and setting of the energy integration interval, which are the two factors that affect the success rate of DP block detection, are discussed through simulations. The idea of DMR (DP to minimum energy sample ratio) based MF-threshold-factor selection is proposed, and the mathematical model of the relationship between DMRs and the optimal MF-threshold-factors are built. Results show that the proposed two-step method greatly outperforms the one-step energy-detection based non-coherent method, while largely decreases the computational complexity compared to the one-step match-filtering based coherent method, so that the two-step method is more appropriate for application to sensor nodes which need to be designed with low complexity and low power consumption.
HTML  下载PDF全文  查看/发表评论  下载PDF阅读器
 

京公网安备 11040202500064号

主办单位:中国科学院软件研究所 中国计算机学会
编辑部电话:+86-10-62562563 E-mail: jos@iscas.ac.cn
Copyright 中国科学院软件研究所《软件学报》版权所有 All Rights Reserved
本刊全文数据库版权所有,未经许可,不得转载,本刊保留追究法律责任的权利