F. O. Alayyan, Y. Leung, A. Zoubir, R. Shubair, Omar al-Ketbi
{"title":"无gi OFDM系统的盲信道识别与均衡","authors":"F. O. Alayyan, Y. Leung, A. Zoubir, R. Shubair, Omar al-Ketbi","doi":"10.1109/WD.2008.4812827","DOIUrl":null,"url":null,"abstract":"We introduce blind channel identification and equalization for orthogonal frequency division multiplexing (OFDM) system without using a guard interval (GI). Inter-symbol-interference (ISI) is significantly reduced by truncation method. To perform channel identification, Subspace and Maximum Likelihood methods are proposed. To achieve enhanced performance and robustness to channel frequency nulls, receiver diversity and OFDM is combined. The performance of the proposed system is illustrated by computer simulations.","PeriodicalId":247938,"journal":{"name":"2008 1st IFIP Wireless Days","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Blind channel identification and equalization for GI-less OFDM systems\",\"authors\":\"F. O. Alayyan, Y. Leung, A. Zoubir, R. Shubair, Omar al-Ketbi\",\"doi\":\"10.1109/WD.2008.4812827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce blind channel identification and equalization for orthogonal frequency division multiplexing (OFDM) system without using a guard interval (GI). Inter-symbol-interference (ISI) is significantly reduced by truncation method. To perform channel identification, Subspace and Maximum Likelihood methods are proposed. To achieve enhanced performance and robustness to channel frequency nulls, receiver diversity and OFDM is combined. The performance of the proposed system is illustrated by computer simulations.\",\"PeriodicalId\":247938,\"journal\":{\"name\":\"2008 1st IFIP Wireless Days\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 1st IFIP Wireless Days\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WD.2008.4812827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 1st IFIP Wireless Days","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WD.2008.4812827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind channel identification and equalization for GI-less OFDM systems
We introduce blind channel identification and equalization for orthogonal frequency division multiplexing (OFDM) system without using a guard interval (GI). Inter-symbol-interference (ISI) is significantly reduced by truncation method. To perform channel identification, Subspace and Maximum Likelihood methods are proposed. To achieve enhanced performance and robustness to channel frequency nulls, receiver diversity and OFDM is combined. The performance of the proposed system is illustrated by computer simulations.