{"title":"FPGA implementation of modified leaky least mean square channel estimation algorithm","authors":"D. Bhoyar, C. Dethe, M. Mushrif","doi":"10.1109/ICDCSYST.2014.6926175","DOIUrl":null,"url":null,"abstract":"Channel estimation is a technique used to reduce channel inference in multipath data transmission. This paper analyses and implemented a suggested new method for channel estimation in MIMO-OFDM system. The proposed modified leaky least mean square channel estimation algorithm (M-LLMS) improves channel estimation accuracy in noisy environment. We compare the results of the proposed method with LMS, RLS and VLLMS channel estimators for SNR (1-35) and over 10,000 itertions. The computational complexities and the Bit Error Rate (BER) are reduced by the proposed algorithm.","PeriodicalId":252016,"journal":{"name":"2014 2nd International Conference on Devices, Circuits and Systems (ICDCS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 2nd International Conference on Devices, Circuits and Systems (ICDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCSYST.2014.6926175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Channel estimation is a technique used to reduce channel inference in multipath data transmission. This paper analyses and implemented a suggested new method for channel estimation in MIMO-OFDM system. The proposed modified leaky least mean square channel estimation algorithm (M-LLMS) improves channel estimation accuracy in noisy environment. We compare the results of the proposed method with LMS, RLS and VLLMS channel estimators for SNR (1-35) and over 10,000 itertions. The computational complexities and the Bit Error Rate (BER) are reduced by the proposed algorithm.