Blind Adaptive Channel Shortening

盲自适应信道缩短

• 批准号: 0310023
• 负责人: C. Richard Johnson
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-01 至 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0310023&HistoricalAwards=false
• 关键词: Blind; Adaptive; Channel; Shortening

ABSTRACT0310023Cornell UniversityC. Richard JohnsonThe Cornell University Blind Equalization Research Group (C.U. BERG) under the direction of Professor C. Richard Johnson, Jr. has spent the past decade and a half researching blind and semi-blind adaptive algorithms used in communication receiver design, usually for blind equalization and blind synchronization. The current focus of the BERG is the Broadband Adaptive Receiver Design (BARD) Project, which aims to develop and study adaptive algorithms for emerging broadband last-mile communications applications. One manifestation of thisw ork isthe BERG'scurren t e.ort in the development of blind, adaptive algorithmsforchannel shortening.Channel shortening is a generalization of equalization, and it can be applied to the design of receivers for multicarrier communication systems, the design of reduced-complexity maximum likelihood sequence estimation (MLSE), and the design of interference suppression for multiuser detectors. The BARD Project is taking an adaptive system-theory approach to the (blind) channel shortening problem. Through thisapproac h, the BARD Project hasrecen tly produced several blind, adaptive algorithms, leading to receivers with improved performance in timevarying environments, and receivers with greatly reduced complexity requirements. In addition, the BARD Project has analytically characterized several of the existing non-adaptive approaches, leading to both explanations of their (poor) performance in certain (time-invariant) situations, and dramatic reductionsof their implementation complexity.

ABSTRACT0310023Cornell UniversityC。康奈尔大学盲均衡研究小组（C.U. BERG）在C. Richard Johnson, Jr.教授的指导下，花了15年的时间研究用于通信接收机设计的盲和半盲自适应算法，通常用于盲均衡和盲同步。BERG目前的重点是宽带自适应接收机设计（BARD）项目，旨在开发和研究新兴宽带最后一英里通信应用的自适应算法。这项工作的一个表现是BERG目前正在努力开发用于信道缩短的盲自适应算法。信道缩短是均衡技术的一种推广，它可以应用于多载波通信系统接收机的设计、降低复杂度的最大似然序列估计（MLSE）的设计以及多用户检测器的干扰抑制设计。BARD项目采用自适应系统理论方法来解决（盲）信道缩短问题。通过这种方法，BARD项目最近产生了几种盲的自适应算法，使接收器在时变环境中性能得到提高，并且大大降低了接收器的复杂性要求。此外，BARD项目对几种现有的非自适应方法进行了分析表征，从而解释了它们在某些（时不变）情况下（较差）的性能，并大大降低了它们的实现复杂性。