{"title":"基于最优窗函数和HOS的MIMO系统盲信道估计","authors":"Li Li, Ke Wang, Juan Li","doi":"10.1109/ICCSN.2009.114","DOIUrl":null,"url":null,"abstract":"The multiple transmit and receive antennas can be used to improve communication quality and capacity. In this paper, a blind channel estimation method based on optimal window function and HOS for MIMO system in the frequency domain is proposed, simulation results show that the algorithm outperforms conventional algorithm with respect to the ONMSE by 2dB.In addition, the proposed method is utilized to identify minimum phase systems and non-minimum phase systems.","PeriodicalId":177679,"journal":{"name":"2009 International Conference on Communication Software and Networks","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blind Channel Estimation Based on Optimal Window Function and HOS for MIMO System\",\"authors\":\"Li Li, Ke Wang, Juan Li\",\"doi\":\"10.1109/ICCSN.2009.114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multiple transmit and receive antennas can be used to improve communication quality and capacity. In this paper, a blind channel estimation method based on optimal window function and HOS for MIMO system in the frequency domain is proposed, simulation results show that the algorithm outperforms conventional algorithm with respect to the ONMSE by 2dB.In addition, the proposed method is utilized to identify minimum phase systems and non-minimum phase systems.\",\"PeriodicalId\":177679,\"journal\":{\"name\":\"2009 International Conference on Communication Software and Networks\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Communication Software and Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2009.114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2009.114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind Channel Estimation Based on Optimal Window Function and HOS for MIMO System
The multiple transmit and receive antennas can be used to improve communication quality and capacity. In this paper, a blind channel estimation method based on optimal window function and HOS for MIMO system in the frequency domain is proposed, simulation results show that the algorithm outperforms conventional algorithm with respect to the ONMSE by 2dB.In addition, the proposed method is utilized to identify minimum phase systems and non-minimum phase systems.
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