Roberto Bomfin, Zhongju Li, Ahmad Nimr, G. Fettweis
{"title":"Experimental Validation of Superresolution Delay Estimation Algorithm using a 26 GHz Radar Setup","authors":"Roberto Bomfin, Zhongju Li, Ahmad Nimr, G. Fettweis","doi":"10.1109/JCS54387.2022.9743515","DOIUrl":null,"url":null,"abstract":"Estimating the delay of signals is an important aspect in radar systems. Simple methods relying on cross-correlation (CCR) only have limited estimation accuracy by the inverse of the probing signal bandwidth. In this paper, we experimentally validate a superresolution path delay estimation (SPDE) method, which provides better accuracy than the CCR-based methods. For this purpose, we employ a radar setup using two collocated 26 GHz radio front-ends for transmission and reception. In a particular scenario, we consider a channel with two rays corresponding to cross talk and a target of interest. We show that the estimated delays using SPDE match the target distance with high accuracy using narrower bandwidth where CCR fails. Since the employed front-ends is primarily developed for communication, our setup is a showcase of reusing the hardware for joint radio communications and sensing (JCAS).","PeriodicalId":424479,"journal":{"name":"2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC&S)","volume":"1 17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC&S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCS54387.2022.9743515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Estimating the delay of signals is an important aspect in radar systems. Simple methods relying on cross-correlation (CCR) only have limited estimation accuracy by the inverse of the probing signal bandwidth. In this paper, we experimentally validate a superresolution path delay estimation (SPDE) method, which provides better accuracy than the CCR-based methods. For this purpose, we employ a radar setup using two collocated 26 GHz radio front-ends for transmission and reception. In a particular scenario, we consider a channel with two rays corresponding to cross talk and a target of interest. We show that the estimated delays using SPDE match the target distance with high accuracy using narrower bandwidth where CCR fails. Since the employed front-ends is primarily developed for communication, our setup is a showcase of reusing the hardware for joint radio communications and sensing (JCAS).