Blind channel equalization of MIMO FIR channels for chaotic communication systems

G. Çetinel, C. Vural
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引用次数: 0

Abstract

Recently various blind channel equalization algorithms have been developed for chaotic communication systems, by exploiting some properties specific to chaotic signals. However, communication channel is assumed to be a single-input single-output (SISO) system in most of these studies. There is no blind channel equalization method for multiple-input multiple-output (MIMO) unknown channel case. In this study, we propose an adaptive blind channel equalization algorithm for MIMO chaotic communication systems. In MIMO communication system, multiuser interference (MUI) is an important factor as well as intersymbol interference (ISI) that hinders receiver performance. To increase receiver performance and achieve reliable, high-speed communication a novel method that overcome the effect of ISI and MUI is developed. The effectiveness of proposed algorithm is demonstrated by computer simulations.
混沌通信系统中MIMO FIR信道的盲信道均衡
近年来,利用混沌信号的某些特性,针对混沌通信系统开发了各种盲信道均衡算法。然而,这些研究大多假设通信信道是单输入单输出(SISO)系统。对于多输入多输出(MIMO)未知信道,目前还没有盲信道均衡方法。在本研究中,我们提出一种适用于MIMO混沌通信系统的自适应盲信道均衡算法。在MIMO通信系统中,多用户干扰(MUI)和码间干扰(ISI)是影响接收机性能的重要因素。为了提高接收机的性能,实现可靠的高速通信,提出了一种克服ISI和MUI影响的新方法。计算机仿真验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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