Adaptive Channel Equalization Based on High-Order Statistics

在过去的几年里，人们越来越关注 基于高阶统计量的处理技术的发展 信号的统计。这些技术考虑到，在 一个系统的方式，信号的非高斯方面。 数字通信信号代表了一个特别重要的 高阶处理的一类非高斯信号 技术似乎很适合。自适应信道均衡器 是现代数字通信系统不可或缺的一部分 其试图校正信道的失真效应， 允许更高的传输速率。建议的目标 研究是高阶处理的发展和分析 技术，侧重于其应用于通信 处理.作为一个特别有前途的应用这些 技术，该建议提出了一种新的方法，以通道 均衡，根据最近的理论结果参数 基于高阶统计的估计， 首席调查员该提案还将调查其他 高阶统计量在通信信号中的应用 处理，包括信号分析、信号检测和信号处理。 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.