Adaptive Channel Equalization Based on High-Order Statistics

在过去的几年里，人们对基于信号的高阶统计量的处理技术的发展越来越感兴趣。这些技术以系统的方式考虑了信号的非高斯方面。数字通信信号代表一类特别重要的非高斯信号，高阶处理技术似乎非常适合这种信号。自适应信道均衡器是现代数字通信系统中不可缺少的部分，它试图纠正信道的失真效应以允许更高的传输速率。这项研究的目标是开发和分析高阶处理技术，重点是它们在通信处理中的应用。作为这些技术的一个特别有前景的应用，该建议提出了一种新的信道均衡方法，该方法基于主要研究者最近发展的基于高阶统计量的参数估计的理论结果。该提案还将研究高阶统计量在通信信号处理中的其他应用，包括信号分析、信号检测和信号设计。

During the past few years, there has been increasing interest in the development of processing techniques based on the high-order statistics of the signals. These techniques take into account, in a systematic manner, the non-Gaussian aspects of the signals. Digital communication signals represent a particularly important class of non-Gaussian signals for which high-order processing techniques appear to be well suited. Adaptive channel equalizers are an indispensable part of modern digital communication systems which attempt to correct the distorting effect of the channel to allow higher transmission rates. The objective of the proposed research is the development and analysis of high-order processing techniques, focusing on their applications to communications processing. As a particularly promising application of these techniques, this proposal presents a novel approach to channel equalization, based on recent theoretical results on parameter estimation based on high-order statistics developed by the principal investigator. The proposal will also investigate other applications of high-order statistics to communications signal processing including signal analysis, signal detection, and signal design.