{"title":"Performance analysis of the time-delay phase-shifter in additive Gaussian noise: a statistical comparison with Hilbert transformer","authors":"Z. M. Hussain","doi":"10.1109/ISSPA.2001.950243","DOIUrl":null,"url":null,"abstract":"It is shown that, in the presence of additive Gaussian noise, the performance of the time-delay phase-shifter, which produces a signal-dependent phase shift, is comparable to the performance of a Hilbert transformer which produces a signal-independent 90-degree phase shift, especially for high signal-to-noise ratios (SNR) and the proper choice of the delay. As SNR increases, the expected value of the time-delay phase estimator approaches the true value of the phase and its variance substantially decreases and converges to the Cramer-Rao bound for all ranges of the effective parameters.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.950243","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
It is shown that, in the presence of additive Gaussian noise, the performance of the time-delay phase-shifter, which produces a signal-dependent phase shift, is comparable to the performance of a Hilbert transformer which produces a signal-independent 90-degree phase shift, especially for high signal-to-noise ratios (SNR) and the proper choice of the delay. As SNR increases, the expected value of the time-delay phase estimator approaches the true value of the phase and its variance substantially decreases and converges to the Cramer-Rao bound for all ranges of the effective parameters.