High-resolution TOA estimation for IR-UWB ranging based on low-rate compressed sampling

2011 6th International ICST Conference on Communications and Networking in China (CHINACOM) Pub Date : 2011-08-17 DOI:10.1109/ChinaCom.2011.6158201

Shaohua Wu, Qinyu Zhang, H. Yao, Qiaoling Zhang

{"title":"High-resolution TOA estimation for IR-UWB ranging based on low-rate compressed sampling","authors":"Shaohua Wu, Qinyu Zhang, H. Yao, Qiaoling Zhang","doi":"10.1109/ChinaCom.2011.6158201","DOIUrl":null,"url":null,"abstract":"Traditionally, high-precision TOA estimation for IR-UWB ranging relies on extremely high-rate sampling, which is difficult to implement with low-cost. In this paper, by introducing the newly emerging compressed sensing (CS) theory to the design of IR-UWB ranging system, low-rate sampling based high-precision TOA estimation is realized. The matching-pursuit search-back (MP-SB) algorithm for TOA estimation is proposed, which utilizes iterative search and threshold comparison to detect the 1st path from the compressed sensing measurements of the received ranging signal. The detection threshold in each iteration step is adaptively optimized. The performance of the proposed method is analyzed through simulations under IEEE 802.15.4a channel models. Results show that the proposed method can obtain high-precision ranging results with measurements far less than Nyquist-rate samples. Therefore, the proposed method serves as an alternative practical high-precision IR-UWB ranging method. 1","PeriodicalId":339961,"journal":{"name":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaCom.2011.6158201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

Traditionally, high-precision TOA estimation for IR-UWB ranging relies on extremely high-rate sampling, which is difficult to implement with low-cost. In this paper, by introducing the newly emerging compressed sensing (CS) theory to the design of IR-UWB ranging system, low-rate sampling based high-precision TOA estimation is realized. The matching-pursuit search-back (MP-SB) algorithm for TOA estimation is proposed, which utilizes iterative search and threshold comparison to detect the 1st path from the compressed sensing measurements of the received ranging signal. The detection threshold in each iteration step is adaptively optimized. The performance of the proposed method is analyzed through simulations under IEEE 802.15.4a channel models. Results show that the proposed method can obtain high-precision ranging results with measurements far less than Nyquist-rate samples. Therefore, the proposed method serves as an alternative practical high-precision IR-UWB ranging method. 1

查看原文本刊更多论文

基于低速率压缩采样的IR-UWB测距高分辨率TOA估计

传统的红外-超宽带测距高精度TOA估计依赖于极高的采样率，难以以低成本实现。本文将新兴的压缩感知(CS)理论引入到红外-超宽带测距系统的设计中，实现了基于低速率采样的高精度TOA估计。提出了一种匹配-追踪-反向搜索(MP-SB)算法，该算法利用迭代搜索和阈值比较从接收到的测距信号的压缩感知测量中检测出第一路径。每个迭代步骤的检测阈值自适应优化。通过在IEEE 802.15.a信道模型下的仿真，分析了该方法的性能。结果表明，该方法可以在远小于奈奎斯特速率样本的测量量下获得高精度的测距结果。因此，该方法是一种实用的高精度红外-超宽带测距方法。1

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)

自引率

0.00%

发文量