{"title":"Adaptive blind compensation of gain and timing mismatches in M-channel time-interleaved ADCs","authors":"Christian Vogel, S. Saleem, S. Mendel","doi":"10.1109/ICECS.2008.4674788","DOIUrl":null,"url":null,"abstract":"Gain and timing mismatches among sub-converters limit the performance of time-interleaved analog-to-digital converters (TIADCs). In this paper we present a blind adaptive method, based on the least-mean-square (LMS) algorithm, to compensate gain and timing mismatches in TIADCs. Similar to other methods in the literature, we assume a slightly oversampled input signal, but, contrary to them, we can apply our method to an arbitrary number of channels in a straightforward way. We give a detailed description of the compensation and the identification part of the method and demonstrate its effectiveness through numerical simulations.","PeriodicalId":404629,"journal":{"name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2008.4674788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53
Abstract
Gain and timing mismatches among sub-converters limit the performance of time-interleaved analog-to-digital converters (TIADCs). In this paper we present a blind adaptive method, based on the least-mean-square (LMS) algorithm, to compensate gain and timing mismatches in TIADCs. Similar to other methods in the literature, we assume a slightly oversampled input signal, but, contrary to them, we can apply our method to an arbitrary number of channels in a straightforward way. We give a detailed description of the compensation and the identification part of the method and demonstrate its effectiveness through numerical simulations.