{"title":"Blind receiver based on the LCCMA algorithm for MC-CDMA signals detection over the 3-states channel model","authors":"L. Copjan, J. Krahulec, S. Marchevsky","doi":"10.1109/RADIOELEK.2008.4542683","DOIUrl":null,"url":null,"abstract":"Blind detection is one of the most perspective techniques in signal processing theory. In this paper we describe blind detector based on the linearly constrained constant modulus algorithm (LCCMA). Simulations are oriented on multi-carrier code division multiple access (MC-CDMA) signals when turbo codes are used for error correction of transmitted images. We had investigated the system bit error rate (BER) performance in 3-states channel enlarged with a complex AWGN (additive white Gauss noise) noise. The channel model is assigned for land mobile satellite (LMS) communications. The application of turbo coding strengthens the system ability to cope with multi-path fading and multi-access interference (MAI) significantly.","PeriodicalId":162482,"journal":{"name":"2008 18th International Conference Radioelektronika","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 18th International Conference Radioelektronika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2008.4542683","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
Blind detection is one of the most perspective techniques in signal processing theory. In this paper we describe blind detector based on the linearly constrained constant modulus algorithm (LCCMA). Simulations are oriented on multi-carrier code division multiple access (MC-CDMA) signals when turbo codes are used for error correction of transmitted images. We had investigated the system bit error rate (BER) performance in 3-states channel enlarged with a complex AWGN (additive white Gauss noise) noise. The channel model is assigned for land mobile satellite (LMS) communications. The application of turbo coding strengthens the system ability to cope with multi-path fading and multi-access interference (MAI) significantly.