{"title":"在频率选择瑞利信道上的带限信号的顺序序列估计","authors":"Q. Dai, E. Shwedyk","doi":"10.1109/ICCS.1992.255084","DOIUrl":null,"url":null,"abstract":"The sequential sequence estimator is based on a set of whitening Kalman filters. It has considerably less computational complexity with an error performance almost identical to that of the maximum likelihood sequence estimation. Due to the presence of both fading and ISI, the error probability is still poor. To improve the error performance, diversity transmission is investigated. The error performance and computational complexity are simulated by computer for two different fading channel models. Comparisons with analytical predictions show good agreement.<<ETX>>","PeriodicalId":223769,"journal":{"name":"[Proceedings] Singapore ICCS/ISITA `92","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sequential sequence estimation of bandlimited signals over a frequency selective Rayleigh channel\",\"authors\":\"Q. Dai, E. Shwedyk\",\"doi\":\"10.1109/ICCS.1992.255084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sequential sequence estimator is based on a set of whitening Kalman filters. It has considerably less computational complexity with an error performance almost identical to that of the maximum likelihood sequence estimation. Due to the presence of both fading and ISI, the error probability is still poor. To improve the error performance, diversity transmission is investigated. The error performance and computational complexity are simulated by computer for two different fading channel models. Comparisons with analytical predictions show good agreement.<<ETX>>\",\"PeriodicalId\":223769,\"journal\":{\"name\":\"[Proceedings] Singapore ICCS/ISITA `92\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] Singapore ICCS/ISITA `92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS.1992.255084\",\"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] Singapore ICCS/ISITA `92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS.1992.255084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sequential sequence estimation of bandlimited signals over a frequency selective Rayleigh channel
The sequential sequence estimator is based on a set of whitening Kalman filters. It has considerably less computational complexity with an error performance almost identical to that of the maximum likelihood sequence estimation. Due to the presence of both fading and ISI, the error probability is still poor. To improve the error performance, diversity transmission is investigated. The error performance and computational complexity are simulated by computer for two different fading channel models. Comparisons with analytical predictions show good agreement.<>