{"title":"一种新的半盲恒模均衡算法","authors":"Qing-Jia Chen, Qi-hui Wu, Jin-Long Wang","doi":"10.1109/ISPACS.2007.4445842","DOIUrl":null,"url":null,"abstract":"For the sake of enhancing stability of least squares constrant modulus equalization algorithm( LSCMA), combining recursive least-squares (RLS) and using robust estimation (RE) from Application Maths, the paper puts forward an new sort of semi-blind constant modulus equalization algorithm that names SB-MRLS-LSCMA.The simulation indicates that the algorithm improves the performance of convergence and stability of the equalizer comparing to traditional LSCMA and several other semi-blind algorithm. And the algorithm can be good for restraining multi-pathway and Rayleigh fading.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new semi-blind constant modulus equalization algorithm\",\"authors\":\"Qing-Jia Chen, Qi-hui Wu, Jin-Long Wang\",\"doi\":\"10.1109/ISPACS.2007.4445842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the sake of enhancing stability of least squares constrant modulus equalization algorithm( LSCMA), combining recursive least-squares (RLS) and using robust estimation (RE) from Application Maths, the paper puts forward an new sort of semi-blind constant modulus equalization algorithm that names SB-MRLS-LSCMA.The simulation indicates that the algorithm improves the performance of convergence and stability of the equalizer comparing to traditional LSCMA and several other semi-blind algorithm. And the algorithm can be good for restraining multi-pathway and Rayleigh fading.\",\"PeriodicalId\":220276,\"journal\":{\"name\":\"2007 International Symposium on Intelligent Signal Processing and Communication Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Intelligent Signal Processing and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2007.4445842\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2007.4445842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new semi-blind constant modulus equalization algorithm
For the sake of enhancing stability of least squares constrant modulus equalization algorithm( LSCMA), combining recursive least-squares (RLS) and using robust estimation (RE) from Application Maths, the paper puts forward an new sort of semi-blind constant modulus equalization algorithm that names SB-MRLS-LSCMA.The simulation indicates that the algorithm improves the performance of convergence and stability of the equalizer comparing to traditional LSCMA and several other semi-blind algorithm. And the algorithm can be good for restraining multi-pathway and Rayleigh fading.