{"title":"数字蜂窝无线电自适应点阵判决反馈均衡器","authors":"A. Narasimhan, S. Chennakeshu, J.B. Anderson","doi":"10.1109/VETEC.1990.110401","DOIUrl":null,"url":null,"abstract":"A study of an adaptive decision feedback equalizer (DFE) based on a lattice structure, for application in the US digital cellular radio telephone system, is conducted. The scheme uses a least-squares algorithm that is capable of tracking rapid channel variations. The equalizer exploits the order-recursive nature of the lattice structure to adaptively vary the number of taps, thereby achieving a relatively uniform bit error rate (BER) performance over a wide range of delay spreads. Simulation results illustrate the equalizer's sensitivity to delay spread variation, Doppler shift, and sample timing jitter. Comparisons are made with the performance of a fractionally spaced DFE that uses a complex fast Kalman algorithm. Issues of complexity and finite precision implementation are addressed.<<ETX>>","PeriodicalId":366352,"journal":{"name":"40th IEEE Conference on Vehicular Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An adaptive lattice decision feedback equalizer for digital cellular radio\",\"authors\":\"A. Narasimhan, S. Chennakeshu, J.B. Anderson\",\"doi\":\"10.1109/VETEC.1990.110401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A study of an adaptive decision feedback equalizer (DFE) based on a lattice structure, for application in the US digital cellular radio telephone system, is conducted. The scheme uses a least-squares algorithm that is capable of tracking rapid channel variations. The equalizer exploits the order-recursive nature of the lattice structure to adaptively vary the number of taps, thereby achieving a relatively uniform bit error rate (BER) performance over a wide range of delay spreads. Simulation results illustrate the equalizer's sensitivity to delay spread variation, Doppler shift, and sample timing jitter. Comparisons are made with the performance of a fractionally spaced DFE that uses a complex fast Kalman algorithm. Issues of complexity and finite precision implementation are addressed.<<ETX>>\",\"PeriodicalId\":366352,\"journal\":{\"name\":\"40th IEEE Conference on Vehicular Technology\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"40th IEEE Conference on Vehicular Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETEC.1990.110401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"40th IEEE Conference on Vehicular Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETEC.1990.110401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive lattice decision feedback equalizer for digital cellular radio
A study of an adaptive decision feedback equalizer (DFE) based on a lattice structure, for application in the US digital cellular radio telephone system, is conducted. The scheme uses a least-squares algorithm that is capable of tracking rapid channel variations. The equalizer exploits the order-recursive nature of the lattice structure to adaptively vary the number of taps, thereby achieving a relatively uniform bit error rate (BER) performance over a wide range of delay spreads. Simulation results illustrate the equalizer's sensitivity to delay spread variation, Doppler shift, and sample timing jitter. Comparisons are made with the performance of a fractionally spaced DFE that uses a complex fast Kalman algorithm. Issues of complexity and finite precision implementation are addressed.<>