{"title":"An Efficient Data-Aided Initial Frequency Synchronizer for DVB-S2","authors":"J. Park, M. Sunwoo, Pansoo Kim, D. Chang","doi":"10.1109/SIPS.2007.4387625","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient initial frequency synchronizer for DVB-S2. An initial frequency offset of the DVB-S2 is around ±5 MHz, which represents 20% of the symbol rate at 25 Mbaud. To estimate a large initial frequency offset, the algorithm which can provide a large estimation range is required. Through the analysis of the Data-aided (DA) algorithms, we find that the Mengali and Moreli (M&M) algorithm can estimate a large initial frequency offset at low SNR. Based on the algorithm, we propose an efficient initial frequency synchronizer to reduce hardware complexity. The proposed architecture can reduce about 68% multipliers, 55% arctan units and 54% adder/subtractors compared with the direct implementation. The proposed architecture has been thoroughly verified using a FPGA board having the the XilinxTM Virtex II.","PeriodicalId":93225,"journal":{"name":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","volume":"46 17","pages":"645-650"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/SIPS.2007.4387625","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2007.4387625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper presents an efficient initial frequency synchronizer for DVB-S2. An initial frequency offset of the DVB-S2 is around ±5 MHz, which represents 20% of the symbol rate at 25 Mbaud. To estimate a large initial frequency offset, the algorithm which can provide a large estimation range is required. Through the analysis of the Data-aided (DA) algorithms, we find that the Mengali and Moreli (M&M) algorithm can estimate a large initial frequency offset at low SNR. Based on the algorithm, we propose an efficient initial frequency synchronizer to reduce hardware complexity. The proposed architecture can reduce about 68% multipliers, 55% arctan units and 54% adder/subtractors compared with the direct implementation. The proposed architecture has been thoroughly verified using a FPGA board having the the XilinxTM Virtex II.