{"title":"DS-CDMA系统中LMS自适应算法在MMSE接收机中的行为研究","authors":"C. Paleologu, C. Vladeanu","doi":"10.1109/ICCGI.2007.42","DOIUrl":null,"url":null,"abstract":"This paper analyzes the behavior of the Least Mean Square (LMS) adaptive algorithm in the minimum mean-squared error (MMSE) single user adaptive receiver for the asynchronous direct sequence-code division multiple access (DS-CDMA) system. It is known that in this context the adaptive algorithm can be iterated several times during the same bit interval in order to achieve a faster convergence rate for the receiver, which further reduces the length of the training sequence. Instead of using such multiple iterations we propose a single equivalent formula for updating the receiver coefficients, saving significant time processing. The simulation results prove the equivalency of these approaches in terms of convergence rate performances.","PeriodicalId":102568,"journal":{"name":"2007 International Multi-Conference on Computing in the Global Information Technology (ICCGI'07)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"On the Behavior of LMS Adaptive Algorithm in MMSE Receivers for DS-CDMA Systems\",\"authors\":\"C. Paleologu, C. Vladeanu\",\"doi\":\"10.1109/ICCGI.2007.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the behavior of the Least Mean Square (LMS) adaptive algorithm in the minimum mean-squared error (MMSE) single user adaptive receiver for the asynchronous direct sequence-code division multiple access (DS-CDMA) system. It is known that in this context the adaptive algorithm can be iterated several times during the same bit interval in order to achieve a faster convergence rate for the receiver, which further reduces the length of the training sequence. Instead of using such multiple iterations we propose a single equivalent formula for updating the receiver coefficients, saving significant time processing. The simulation results prove the equivalency of these approaches in terms of convergence rate performances.\",\"PeriodicalId\":102568,\"journal\":{\"name\":\"2007 International Multi-Conference on Computing in the Global Information Technology (ICCGI'07)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Multi-Conference on Computing in the Global Information Technology (ICCGI'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCGI.2007.42\",\"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 Multi-Conference on Computing in the Global Information Technology (ICCGI'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCGI.2007.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Behavior of LMS Adaptive Algorithm in MMSE Receivers for DS-CDMA Systems
This paper analyzes the behavior of the Least Mean Square (LMS) adaptive algorithm in the minimum mean-squared error (MMSE) single user adaptive receiver for the asynchronous direct sequence-code division multiple access (DS-CDMA) system. It is known that in this context the adaptive algorithm can be iterated several times during the same bit interval in order to achieve a faster convergence rate for the receiver, which further reduces the length of the training sequence. Instead of using such multiple iterations we propose a single equivalent formula for updating the receiver coefficients, saving significant time processing. The simulation results prove the equivalency of these approaches in terms of convergence rate performances.