Blind Adaptive Channel Shortening

摘要0310023康奈尔大学C.康奈尔大学盲均衡研究小组（C.U.贝格）在C.小理查德·约翰逊在过去的15年里，他一直在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。贝格目前的重点是宽带自适应接收机设计（BARD）项目，其目的是开发和研究新兴的宽带最后一英里通信应用的自适应算法。这种工作的一个表现是贝格在盲自适应信道缩短算法的发展中的不足，信道缩短是均衡的推广，它可以应用于多载波通信系统接收机的设计、简化的最大似然序列估计（MLSE）的设计和多用户检测器的干扰抑制设计。BARD项目正在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，导致接收机在时变环境中具有改进的性能，并且接收机具有大大降低的复杂性要求。此外，BARD项目分析了几种现有的非自适应方法的特点，导致在某些（时不变）情况下其（差）性能的解释，以及其实施复杂性的显着降低。

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.