{"title":"有限长度MMSE-DFE对信道和二阶统计估计误差的鲁棒性","authors":"A. Liavas","doi":"10.1109/SSP.2001.955345","DOIUrl":null,"url":null,"abstract":"The filters constituting the minimum mean square error decision-feedback equalizer (MMSE-DFE), as well as related performance measures, can be computed by assuming perfect knowledge of the channel impulse response and the input and noise second-order statistics (SOS). In practice, we estimate the unknown channel and SOS, and inevitable estimation errors arise. We model estimation errors as small perturbations, i.e., of order /spl epsiv/, with /spl epsiv/ a sufficiently small positive number, and we study the behavior of the MMSE-DFE under mismatch by performing a first-order perturbation analysis. We prove that the excess MSE induced by O(/spl epsiv/) estimation errors is O(/spl epsiv//sup 2/), uncovering important robustness properties associated with the MMSE-DFE.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"174 1","pages":"552-555"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errors\",\"authors\":\"A. Liavas\",\"doi\":\"10.1109/SSP.2001.955345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The filters constituting the minimum mean square error decision-feedback equalizer (MMSE-DFE), as well as related performance measures, can be computed by assuming perfect knowledge of the channel impulse response and the input and noise second-order statistics (SOS). In practice, we estimate the unknown channel and SOS, and inevitable estimation errors arise. We model estimation errors as small perturbations, i.e., of order /spl epsiv/, with /spl epsiv/ a sufficiently small positive number, and we study the behavior of the MMSE-DFE under mismatch by performing a first-order perturbation analysis. We prove that the excess MSE induced by O(/spl epsiv/) estimation errors is O(/spl epsiv//sup 2/), uncovering important robustness properties associated with the MMSE-DFE.\",\"PeriodicalId\":70952,\"journal\":{\"name\":\"信号处理\",\"volume\":\"174 1\",\"pages\":\"552-555\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/SSP.2001.955345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errors
The filters constituting the minimum mean square error decision-feedback equalizer (MMSE-DFE), as well as related performance measures, can be computed by assuming perfect knowledge of the channel impulse response and the input and noise second-order statistics (SOS). In practice, we estimate the unknown channel and SOS, and inevitable estimation errors arise. We model estimation errors as small perturbations, i.e., of order /spl epsiv/, with /spl epsiv/ a sufficiently small positive number, and we study the behavior of the MMSE-DFE under mismatch by performing a first-order perturbation analysis. We prove that the excess MSE induced by O(/spl epsiv/) estimation errors is O(/spl epsiv//sup 2/), uncovering important robustness properties associated with the MMSE-DFE.
期刊介绍:
Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.