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。理查德·约翰逊（Richard Johnsonthe）康奈尔大学（Richard Johnsonthe Cornell University）在小C. Richard Johnson教授的指导下度过了过去的十年半，研究了盲人和半盲的自适应算法，通常用于通信接收器设计，通常用于盲目均衡和盲目同步。 Berg的当前重点是宽带自适应接收器设计（BARD）项目，该项目旨在开发和研究新兴宽带最后一英里通信应用程序的自适应算法。伯克（Berg'scurren）的一种表现是在盲目的，适应性算法的缩短中的发展。缩短渠道缩短是均等化的概括，它可以应用于多载波通信系统的接收器设计，降低的增强性最大可能性均可估计的设计（ML）和均匀的估计值（ML）和设计。吟游诗人正在采用自适应系统理论方法来解决（盲）通道缩短问题。通过此应用程序H，Bard Project Hasrecen Tly产生了几种盲目的自适应算法，从而导致接收器在时间变化环境中的性能提高，并且接收器的复杂性要求大大降低。此外，bard项目已经在分析上表征了几种现有的非自适应方法，这两种方法都对其在某些（时间不变）情况下的（较差）表现以及其实施复杂性的降低显着降低。