S. Salari, M. Ahmadian, M. Ardebilipour, V. Meghdadi, J. Cances
{"title":"Carrier-Frequency Offset Estimation via the EM Algorithm for MIMO-OFDM Iterative Receivers","authors":"S. Salari, M. Ahmadian, M. Ardebilipour, V. Meghdadi, J. Cances","doi":"10.1109/CNSR.2007.21","DOIUrl":null,"url":null,"abstract":"In this paper, we consider carrier-frequency offset (CFO) estimation issue in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system using low-density parity-check (LDPC) codes at transmitter and iterative detection based on the maximum a posteriori expectation-maximization (MAP-EM) demodulator and a soft LDPC decoder at receiver. Based on the EM algorithm, we first present a novel pilot-aided CFO estimator that allows fast Fourier-transform (FFT)-based fast implementation. Then this CFO estimator is incorporated into the initialization step of the iterative receiver. Experimental results show the effectiveness of our receiver design in combating CFO.","PeriodicalId":266936,"journal":{"name":"Fifth Annual Conference on Communication Networks and Services Research (CNSR '07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth Annual Conference on Communication Networks and Services Research (CNSR '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNSR.2007.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, we consider carrier-frequency offset (CFO) estimation issue in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system using low-density parity-check (LDPC) codes at transmitter and iterative detection based on the maximum a posteriori expectation-maximization (MAP-EM) demodulator and a soft LDPC decoder at receiver. Based on the EM algorithm, we first present a novel pilot-aided CFO estimator that allows fast Fourier-transform (FFT)-based fast implementation. Then this CFO estimator is incorporated into the initialization step of the iterative receiver. Experimental results show the effectiveness of our receiver design in combating CFO.