{"title":"QAM Receiver with Band-Pass Sampling and blind synchronization","authors":"F. Palmieri, G. Romano, E. Venosa","doi":"10.1109/AERO.2009.4839422","DOIUrl":null,"url":null,"abstract":"In this paper we propose a methodology for designing a fully-digital reconfigurable receiver for QAM signals. Band-Pass Sampling (BPS) is used as a first stage with a unique Analog-to-Digital Converter (ADC) positioned immediately after the receiver antenna. The band-pass sampling is analyzed with reference to noise aliasing deriving from band-pass filter and the results in the numerical frequency domain are presented. The inescapable frequency, symbol and phase synchronization problem in our model of receiver is approached and solved blindly with an information-theoretic criterion: joint entropy maximization is utilized for frequency and symbol synchronization while mutual information minimization is utilized for phase recovery. The innovative contribution of this paper consists in matching band-pass sampling and blind synchronization with a design of a synchronized reconfigurable receiver for QAM signals.","PeriodicalId":117250,"journal":{"name":"2009 IEEE Aerospace conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Aerospace conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.2009.4839422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper we propose a methodology for designing a fully-digital reconfigurable receiver for QAM signals. Band-Pass Sampling (BPS) is used as a first stage with a unique Analog-to-Digital Converter (ADC) positioned immediately after the receiver antenna. The band-pass sampling is analyzed with reference to noise aliasing deriving from band-pass filter and the results in the numerical frequency domain are presented. The inescapable frequency, symbol and phase synchronization problem in our model of receiver is approached and solved blindly with an information-theoretic criterion: joint entropy maximization is utilized for frequency and symbol synchronization while mutual information minimization is utilized for phase recovery. The innovative contribution of this paper consists in matching band-pass sampling and blind synchronization with a design of a synchronized reconfigurable receiver for QAM signals.