E. Tanghe, L. Martens, W. Joseph, D. Gaillot, M. Liénard, P. Degauque
{"title":"Specular path estimation errors with ESPRIT, SAGE, and RiMAX in the presence of dense multipath","authors":"E. Tanghe, L. Martens, W. Joseph, D. Gaillot, M. Liénard, P. Degauque","doi":"10.1109/APWC.2012.6324917","DOIUrl":null,"url":null,"abstract":"The estimation accuracy of specular multipath components in radio channels that include dense multipath is investigated. Classical multipath estimation algorithms such as ESPRIT and SAGE do not include dense multipath in their signal model whereas recent ones, such as RiMAX, do. These estimation algorithms are applied to a-priori known synthetic channels which include both specular components (SCs) and dense multipath components (DMC). The estimation errors of the SCs are computed as a function of the DMC power to evaluate the estimator's robustness. The results of this work clearly indicate large estimation errors for the SC parameters when the estimator does not include DMC in its data model.","PeriodicalId":6393,"journal":{"name":"2012 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWC.2012.6324917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The estimation accuracy of specular multipath components in radio channels that include dense multipath is investigated. Classical multipath estimation algorithms such as ESPRIT and SAGE do not include dense multipath in their signal model whereas recent ones, such as RiMAX, do. These estimation algorithms are applied to a-priori known synthetic channels which include both specular components (SCs) and dense multipath components (DMC). The estimation errors of the SCs are computed as a function of the DMC power to evaluate the estimator's robustness. The results of this work clearly indicate large estimation errors for the SC parameters when the estimator does not include DMC in its data model.