{"title":"格结构盲决策反馈均衡器的去相关算法","authors":"A. Bateman, Y. Bar-Ness, R. Kamel","doi":"10.1109/DSP.1994.379829","DOIUrl":null,"url":null,"abstract":"A new algorithm was previously introduced for blind, adaptive equalization, known as the decorrelation algorithm. The algorithm is based on decorrelating the input to the decision or threshold device of a decision feedback equalizer to reduce the intersymbol interference at the equalizer's output. To increase the rate of convergence of this blind, adaptive, decision feedback equalizer, a fast Kalman structure was proposed, but not without a dramatic increase in complexity and limited numerical stability. In the present paper, more computationally efficient lattice-based structures are proposed. Using the decorrelation algorithm to control these structures, the authors maintain a high rate of convergence with better numerical stability in finite-precision environments.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"262 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decorrelation algorithm for blind decision feedback equalizer with lattice structures\",\"authors\":\"A. Bateman, Y. Bar-Ness, R. Kamel\",\"doi\":\"10.1109/DSP.1994.379829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new algorithm was previously introduced for blind, adaptive equalization, known as the decorrelation algorithm. The algorithm is based on decorrelating the input to the decision or threshold device of a decision feedback equalizer to reduce the intersymbol interference at the equalizer's output. To increase the rate of convergence of this blind, adaptive, decision feedback equalizer, a fast Kalman structure was proposed, but not without a dramatic increase in complexity and limited numerical stability. In the present paper, more computationally efficient lattice-based structures are proposed. Using the decorrelation algorithm to control these structures, the authors maintain a high rate of convergence with better numerical stability in finite-precision environments.<<ETX>>\",\"PeriodicalId\":189083,\"journal\":{\"name\":\"Proceedings of IEEE 6th Digital Signal Processing Workshop\",\"volume\":\"262 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE 6th Digital Signal Processing Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSP.1994.379829\",\"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 IEEE 6th Digital Signal Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSP.1994.379829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decorrelation algorithm for blind decision feedback equalizer with lattice structures
A new algorithm was previously introduced for blind, adaptive equalization, known as the decorrelation algorithm. The algorithm is based on decorrelating the input to the decision or threshold device of a decision feedback equalizer to reduce the intersymbol interference at the equalizer's output. To increase the rate of convergence of this blind, adaptive, decision feedback equalizer, a fast Kalman structure was proposed, but not without a dramatic increase in complexity and limited numerical stability. In the present paper, more computationally efficient lattice-based structures are proposed. Using the decorrelation algorithm to control these structures, the authors maintain a high rate of convergence with better numerical stability in finite-precision environments.<>