无线光通信系统自适应信道估计的性能分析

Lamiaa A. Abd-Elgawad, Ibrahim M. Eldokany, El-Sayed M. El-Rabaie, Yara Abd-Elazim, G. Elabyad, M. Dessouky, Gamal A. Hussein, A. Shalaby, F. A. Abd El-Samie
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引用次数: 0

摘要

利用信道均衡保持无线光通信(OWC)系统的效率是一个曲线问题。本文研究了不同的自适应信道估计算法,以实现光纤无线信道均衡。考虑的自适应信道估计算法有标准最小均方算法(LMS)和带有活动检测制导(ADG)和抽头解耦(TD)的LMS算法。随机输入用于信道估计过程。这些输入是白色和彩色的。仿真结果表明,带ADG的LMS算法能够很好地解决白色输入的信道估计问题。另一方面,对于彩色输入,需要TD来正确估计通道抽头。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of Adaptive Channel Estimation for Wireless Optical Communication Systems
Maintaining the efficiency of Optical Wireless Communication (OWC) systems with channel equalization is a curial problem. In this paper, different adaptive channel estimation algorithms are studied to allow optical wireless channel equalization. The adaptive channel estimation algorithms considered are standard Least Mean Square (LMS) and LMS with Activity Detection Guidance (ADG) and Tap Decoupling (TD). Random inputs are used in the channel estimation process. These inputs are of white and color natures. Simulation results prove that the LMS algorithm with ADG is fair enough for the channel estimation problem for white inputs. On the other hand, for colored inputs, the TD is required for correct estimation of channel taps.
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