{"title":"基于信道估计的时变通信信道自适应均衡器","authors":"T. Shimamura, S. Semnani, C. Cowan","doi":"10.1109/ACSSC.1995.540562","DOIUrl":null,"url":null,"abstract":"For the purpose of tackling the problem of equalisation in a time variant environment, a novel approach is developed which uses two finite impulse response filters; one is a channel estimator and the other is an equalisation filter. The gradient algorithm with degree 1 least-square fading memory prediction is adopted for the channel estimator. Using the results produced by the channel estimator, the coefficients of the equalisation filter are indirectly updated. Computer simulation results show that the channel estimation based adaptive equaliser provides significant improvement in the case of a second order Markov communication channel model.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A channel estimation-based adaptive equaliser for time-variant communications channels\",\"authors\":\"T. Shimamura, S. Semnani, C. Cowan\",\"doi\":\"10.1109/ACSSC.1995.540562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the purpose of tackling the problem of equalisation in a time variant environment, a novel approach is developed which uses two finite impulse response filters; one is a channel estimator and the other is an equalisation filter. The gradient algorithm with degree 1 least-square fading memory prediction is adopted for the channel estimator. Using the results produced by the channel estimator, the coefficients of the equalisation filter are indirectly updated. Computer simulation results show that the channel estimation based adaptive equaliser provides significant improvement in the case of a second order Markov communication channel model.\",\"PeriodicalId\":171264,\"journal\":{\"name\":\"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1995.540562\",\"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 Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1995.540562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A channel estimation-based adaptive equaliser for time-variant communications channels
For the purpose of tackling the problem of equalisation in a time variant environment, a novel approach is developed which uses two finite impulse response filters; one is a channel estimator and the other is an equalisation filter. The gradient algorithm with degree 1 least-square fading memory prediction is adopted for the channel estimator. Using the results produced by the channel estimator, the coefficients of the equalisation filter are indirectly updated. Computer simulation results show that the channel estimation based adaptive equaliser provides significant improvement in the case of a second order Markov communication channel model.