{"title":"时空均衡子带阵列的收敛性能","authors":"Yimin D. Zhang, Kehu Yang, M. Amin","doi":"10.1109/SSP.2001.955343","DOIUrl":null,"url":null,"abstract":"Subband arrays have been proposed as a useful means to realize joint spatio-temporal domain equalization in digital mobile communications. They are used to mitigate channel impairment problems caused by inter-symbol interference (ISI) and co-channel interference (CCI). We propose normalized subband array and locally orthogonalized subband array techniques for channel equalization. The least square mean (LMS) algorithm is used for adaptation. The convergence performance of the proposed techniques is analyzed and compared with that of conventional space-time adaptive processing (STAP) techniques. It is shown that subband decompositions provide great flexibility in implementing spatio-temporal equalization. Both analytical and numerical simulation results demonstrate that the proposed subband array techniques substantially improve the convergence performance without significant additional computations.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Convergence performance of subband arrays for spatio-temporal equalization\",\"authors\":\"Yimin D. Zhang, Kehu Yang, M. Amin\",\"doi\":\"10.1109/SSP.2001.955343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Subband arrays have been proposed as a useful means to realize joint spatio-temporal domain equalization in digital mobile communications. They are used to mitigate channel impairment problems caused by inter-symbol interference (ISI) and co-channel interference (CCI). We propose normalized subband array and locally orthogonalized subband array techniques for channel equalization. The least square mean (LMS) algorithm is used for adaptation. The convergence performance of the proposed techniques is analyzed and compared with that of conventional space-time adaptive processing (STAP) techniques. It is shown that subband decompositions provide great flexibility in implementing spatio-temporal equalization. Both analytical and numerical simulation results demonstrate that the proposed subband array techniques substantially improve the convergence performance without significant additional computations.\",\"PeriodicalId\":70952,\"journal\":{\"name\":\"信号处理\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/SSP.2001.955343\",\"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.2001.955343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Convergence performance of subband arrays for spatio-temporal equalization
Subband arrays have been proposed as a useful means to realize joint spatio-temporal domain equalization in digital mobile communications. They are used to mitigate channel impairment problems caused by inter-symbol interference (ISI) and co-channel interference (CCI). We propose normalized subband array and locally orthogonalized subband array techniques for channel equalization. The least square mean (LMS) algorithm is used for adaptation. The convergence performance of the proposed techniques is analyzed and compared with that of conventional space-time adaptive processing (STAP) techniques. It is shown that subband decompositions provide great flexibility in implementing spatio-temporal equalization. Both analytical and numerical simulation results demonstrate that the proposed subband array techniques substantially improve the convergence performance without significant additional computations.
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.