{"title":"基于改进Viterbi和Viterbi (MVAV)算法的盲载波频偏估计","authors":"S. Nidhiry, K. V. Babu, G. R. Reddy","doi":"10.1109/IMAC4S.2013.6526425","DOIUrl":null,"url":null,"abstract":"Recent wireless standards are expected to offer very high data rate. They use OFDM for high data rate communication. OFDM severely suffers by Inter Carrier Interference (ICI) problems. A common solution for ICI reduction and throughput improvement has been proposed in this paper. This paper presents a novel technique to estimate CFO in Orthogonal Frequency Division Multiplexing systems using Viterbi and Viterbi (VAV) algorithm. The proposed method is blind with less complexity and more CFO estimation range. The estimation range mainly depends on the maximum number of phase angles possible for the constellation. In this paper the performance of the proposed algorithm is analyzed in terms of Probability of Symbol Error (PSE) versus SNR.","PeriodicalId":403064,"journal":{"name":"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blind carrier frequency offset (CFO) estimation using modified Viterbi and Viterbi (MVAV) algorithm\",\"authors\":\"S. Nidhiry, K. V. Babu, G. R. Reddy\",\"doi\":\"10.1109/IMAC4S.2013.6526425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent wireless standards are expected to offer very high data rate. They use OFDM for high data rate communication. OFDM severely suffers by Inter Carrier Interference (ICI) problems. A common solution for ICI reduction and throughput improvement has been proposed in this paper. This paper presents a novel technique to estimate CFO in Orthogonal Frequency Division Multiplexing systems using Viterbi and Viterbi (VAV) algorithm. The proposed method is blind with less complexity and more CFO estimation range. The estimation range mainly depends on the maximum number of phase angles possible for the constellation. In this paper the performance of the proposed algorithm is analyzed in terms of Probability of Symbol Error (PSE) versus SNR.\",\"PeriodicalId\":403064,\"journal\":{\"name\":\"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMAC4S.2013.6526425\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMAC4S.2013.6526425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind carrier frequency offset (CFO) estimation using modified Viterbi and Viterbi (MVAV) algorithm
Recent wireless standards are expected to offer very high data rate. They use OFDM for high data rate communication. OFDM severely suffers by Inter Carrier Interference (ICI) problems. A common solution for ICI reduction and throughput improvement has been proposed in this paper. This paper presents a novel technique to estimate CFO in Orthogonal Frequency Division Multiplexing systems using Viterbi and Viterbi (VAV) algorithm. The proposed method is blind with less complexity and more CFO estimation range. The estimation range mainly depends on the maximum number of phase angles possible for the constellation. In this paper the performance of the proposed algorithm is analyzed in terms of Probability of Symbol Error (PSE) versus SNR.