{"title":"不完全信道估计下多径衰落信道的自适应MLSE均衡性能","authors":"M. Chiu, Chi-chao Chao","doi":"10.1109/ISIT.1994.394661","DOIUrl":null,"url":null,"abstract":"In the literature, the performance of maximum-likelihood sequence estimation (MLSE) equalization on multipath fading channels is analysed under the assumption of perfect channel estimates. In reality, this condition is difficult to attain, especially for fast fading channels. It is therefore of great significance to study the performance degradation due to imperfect channel estimates. In this paper, we consider a practical MLSE equalizer in conjunction with a least mean square (LMS) channel estimator and a simple channel predictor. A new upper-bound on block error rate is derived for multipath Rayleigh fading channels.<<ETX>>","PeriodicalId":331390,"journal":{"name":"Proceedings of 1994 IEEE International Symposium on Information Theory","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance of adaptive MLSE equalization on multipath fading channels with imperfect channel estimates\",\"authors\":\"M. Chiu, Chi-chao Chao\",\"doi\":\"10.1109/ISIT.1994.394661\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the literature, the performance of maximum-likelihood sequence estimation (MLSE) equalization on multipath fading channels is analysed under the assumption of perfect channel estimates. In reality, this condition is difficult to attain, especially for fast fading channels. It is therefore of great significance to study the performance degradation due to imperfect channel estimates. In this paper, we consider a practical MLSE equalizer in conjunction with a least mean square (LMS) channel estimator and a simple channel predictor. A new upper-bound on block error rate is derived for multipath Rayleigh fading channels.<<ETX>>\",\"PeriodicalId\":331390,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.1994.394661\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.1994.394661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance of adaptive MLSE equalization on multipath fading channels with imperfect channel estimates
In the literature, the performance of maximum-likelihood sequence estimation (MLSE) equalization on multipath fading channels is analysed under the assumption of perfect channel estimates. In reality, this condition is difficult to attain, especially for fast fading channels. It is therefore of great significance to study the performance degradation due to imperfect channel estimates. In this paper, we consider a practical MLSE equalizer in conjunction with a least mean square (LMS) channel estimator and a simple channel predictor. A new upper-bound on block error rate is derived for multipath Rayleigh fading channels.<>