Blind Equalization and Channel Estimation in Data Communication Systems

这项研究是在数字通信系统的盲均衡和信道冲激响应估计领域，包括电话信道和数字无线电信道。研究的主要目的之一是提出和分析用于传统判决引导均衡器的可靠初始化的新方案。考虑了批处理和递归两种方法。众所周知，由于通信信道模型通常是非最小相位的，因此二阶统计量不足以消除码间干扰。因此，除了通常的二阶统计量之外，重点是利用高阶累积量统计量，数据和适当定义的误差信号。另一个目标是基于数据的二阶和四阶累积量统计量来设计和分析新的全局收敛的盲均衡器。

This research is in the area of blind equalization and channel impulse response estimation for digital communication systems, including telephone channels as well as digital radio channels. One of the main objectives of the research is to propose and analyze novel schemes for reliable initialization of the conventional decision directed equalizers. Both batch an recursive methods are considered. It is known that the second order statistics are inadequate for ISI removal since the communication channel models are nonminimum-phase in general. Therefore, emphasis is on exploitation of higher order cumulant statistics, in addition to the usual second order statistics, of the data and of appropriately defined error signals. Another objective is to design and analyze novel globally convergent blind equalizers based on second and fourth order cumulant statistics of the data.