Ana Belen Martinez, Atul Kumar, Marwa Chafii, G. Fettweis
{"title":"A Chirp-Based Frequency Synchronization Approach for Flat Fading Channels","authors":"Ana Belen Martinez, Atul Kumar, Marwa Chafii, G. Fettweis","doi":"10.1109/6GSUMMIT49458.2020.9083764","DOIUrl":null,"url":null,"abstract":"In different new and emerging technologies, where high frequency offsets (FOs) are expected due to the low-cost nature of the local oscillators, and low sampling rates are chosen for the sake of power efficiency, accurate FO estimation becomes a challenging task. This work proposes a frequency synchronization approach based on a dual-chirp training sequence. Its performance is evaluated by means of simulations and validated with the derived Cramer-Rao lower bound. It is shown that the proposed method achieves near-optimum performance with lower complexity than the state-of-the-art approach.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd 6G Wireless Summit (6G SUMMIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In different new and emerging technologies, where high frequency offsets (FOs) are expected due to the low-cost nature of the local oscillators, and low sampling rates are chosen for the sake of power efficiency, accurate FO estimation becomes a challenging task. This work proposes a frequency synchronization approach based on a dual-chirp training sequence. Its performance is evaluated by means of simulations and validated with the derived Cramer-Rao lower bound. It is shown that the proposed method achieves near-optimum performance with lower complexity than the state-of-the-art approach.