{"title":"基于重复指数的MIMO-OFDM系统盲信道估计","authors":"Xiang Shao, Jian Chen, Yonghong Kuo","doi":"10.1109/ICICIS.2011.71","DOIUrl":null,"url":null,"abstract":"A subspace blind channel estimation algorithm based on repetition index is proposed in this paper. Compared with the original blind channel estimation algorithm, the number of received symbols needed for achieving the desired estimation is reduced greatly, which relaxes the requirement that the unknown channel must remain time invariant during estimation. Simulation results show that the proposed scheme has similar or even better performance with fewer received symbols over the referenced subspace-based methods.","PeriodicalId":255291,"journal":{"name":"2011 International Conference on Internet Computing and Information Services","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Blind Channel Estimation for MIMO-OFDM Systems Based on Repetition Index\",\"authors\":\"Xiang Shao, Jian Chen, Yonghong Kuo\",\"doi\":\"10.1109/ICICIS.2011.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A subspace blind channel estimation algorithm based on repetition index is proposed in this paper. Compared with the original blind channel estimation algorithm, the number of received symbols needed for achieving the desired estimation is reduced greatly, which relaxes the requirement that the unknown channel must remain time invariant during estimation. Simulation results show that the proposed scheme has similar or even better performance with fewer received symbols over the referenced subspace-based methods.\",\"PeriodicalId\":255291,\"journal\":{\"name\":\"2011 International Conference on Internet Computing and Information Services\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Internet Computing and Information Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIS.2011.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Internet Computing and Information Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIS.2011.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind Channel Estimation for MIMO-OFDM Systems Based on Repetition Index
A subspace blind channel estimation algorithm based on repetition index is proposed in this paper. Compared with the original blind channel estimation algorithm, the number of received symbols needed for achieving the desired estimation is reduced greatly, which relaxes the requirement that the unknown channel must remain time invariant during estimation. Simulation results show that the proposed scheme has similar or even better performance with fewer received symbols over the referenced subspace-based methods.
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