{"title":"Optimal HMM Processing Of Differentially Phase Modulated Communication Systems","authors":"Emily Lane, J. Ford, J. Moore","doi":"10.1109/ISSPA.1996.615085","DOIUrl":null,"url":null,"abstract":"This paper investigates demodulation of differentially phase modulated signals (DPMS) using optimal HMM filters. The optimal HMM filter presented in the paper is computationally of order N 3 per time instant, where N is the number of message symbols. Previously, optimal HMM filters have been of computational order N 4 per time instant. Also, suboptimal HMM filters have be proposed of computation order N 2 per time instant. The approach presented in this paper uses two coupled HMM filters and exploits knowledge of their interdependence to achieve computational gains. A simulation study is also presented.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615085","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
This paper investigates demodulation of differentially phase modulated signals (DPMS) using optimal HMM filters. The optimal HMM filter presented in the paper is computationally of order N 3 per time instant, where N is the number of message symbols. Previously, optimal HMM filters have been of computational order N 4 per time instant. Also, suboptimal HMM filters have be proposed of computation order N 2 per time instant. The approach presented in this paper uses two coupled HMM filters and exploits knowledge of their interdependence to achieve computational gains. A simulation study is also presented.