{"title":"Performance analysis of maximum likelihood blind spreading factor detection using FOSSIL","authors":"L. Tsaur, D.C. Lee","doi":"10.1109/MILCOM.2001.986104","DOIUrl":null,"url":null,"abstract":"We describe and propose the usage of a new codeword set to achieve the symbol rate (or spreading factor) adaptation in a CDMA communication network. Then we analyze the performance of a symbol-by-symbol, non-coherent, maximum-likelihood, blind spreading factor detector. The probability of false detection, which is also referred as the detection error rate (DER) in other studies, is analyzed for a multi-rate CDMA communication link with AWGN. The analysis shows that when the SNR is greater than 17 dB, the probability of false detection is around 10/sup -6/.","PeriodicalId":136537,"journal":{"name":"2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.2001.986104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We describe and propose the usage of a new codeword set to achieve the symbol rate (or spreading factor) adaptation in a CDMA communication network. Then we analyze the performance of a symbol-by-symbol, non-coherent, maximum-likelihood, blind spreading factor detector. The probability of false detection, which is also referred as the detection error rate (DER) in other studies, is analyzed for a multi-rate CDMA communication link with AWGN. The analysis shows that when the SNR is greater than 17 dB, the probability of false detection is around 10/sup -6/.