{"title":"基于STBC的MIMO-OFDM系统自适应滤波信道估计技术比较研究","authors":"Mei Li, Xiang Wang, Kun Zhang","doi":"10.1109/ICMLC.2014.7009691","DOIUrl":null,"url":null,"abstract":"In this paper, we will analyze the Least Mean Square(LMS) and Recursive Least Square(RLS) algorithms. Then, we apply these two algorithms to a Multiple-input Multiple-output(MIMO-OFDM) system based on Space-Time Block Coding(STBC), and do some simulations on these two algorithms. From the simulation, it is found that the convergence speed of the RLS algorithm is faster than LMS algorithm, i.e., the performance of RLS is better than LMS algorithm.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC\",\"authors\":\"Mei Li, Xiang Wang, Kun Zhang\",\"doi\":\"10.1109/ICMLC.2014.7009691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we will analyze the Least Mean Square(LMS) and Recursive Least Square(RLS) algorithms. Then, we apply these two algorithms to a Multiple-input Multiple-output(MIMO-OFDM) system based on Space-Time Block Coding(STBC), and do some simulations on these two algorithms. From the simulation, it is found that the convergence speed of the RLS algorithm is faster than LMS algorithm, i.e., the performance of RLS is better than LMS algorithm.\",\"PeriodicalId\":335296,\"journal\":{\"name\":\"2014 International Conference on Machine Learning and Cybernetics\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2014.7009691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2014.7009691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC
In this paper, we will analyze the Least Mean Square(LMS) and Recursive Least Square(RLS) algorithms. Then, we apply these two algorithms to a Multiple-input Multiple-output(MIMO-OFDM) system based on Space-Time Block Coding(STBC), and do some simulations on these two algorithms. From the simulation, it is found that the convergence speed of the RLS algorithm is faster than LMS algorithm, i.e., the performance of RLS is better than LMS algorithm.
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