{"title":"采用奇异值分解进行MIMO均衡的预滤波器设计","authors":"Bong-Gee Song, J. Ritcey","doi":"10.1109/ACSSC.1996.600812","DOIUrl":null,"url":null,"abstract":"This paper describes a new prefilter design method for MIMO communication channels with equalizers. The prefilter is designed in the frequency domain to make the channel easier to equalize. We apply the singular value decomposition (SVD) of the channel frequency response to design the prefilter. The new prefilter achieves a performance improvement at high signal to noise ratio (SNR) while keeping the performance at low SNR. We also show the advantage of transmitter diversity.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Prefilter design using the singular value decomposition for MIMO equalization\",\"authors\":\"Bong-Gee Song, J. Ritcey\",\"doi\":\"10.1109/ACSSC.1996.600812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a new prefilter design method for MIMO communication channels with equalizers. The prefilter is designed in the frequency domain to make the channel easier to equalize. We apply the singular value decomposition (SVD) of the channel frequency response to design the prefilter. The new prefilter achieves a performance improvement at high signal to noise ratio (SNR) while keeping the performance at low SNR. We also show the advantage of transmitter diversity.\",\"PeriodicalId\":270729,\"journal\":{\"name\":\"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1996.600812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1996.600812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prefilter design using the singular value decomposition for MIMO equalization
This paper describes a new prefilter design method for MIMO communication channels with equalizers. The prefilter is designed in the frequency domain to make the channel easier to equalize. We apply the singular value decomposition (SVD) of the channel frequency response to design the prefilter. The new prefilter achieves a performance improvement at high signal to noise ratio (SNR) while keeping the performance at low SNR. We also show the advantage of transmitter diversity.