Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication

Taifei ZHAO; Longfei LIU; Jing WANG; Liyang YANG

doi:10.11959/j.issn.1000-436x.2019065

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Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication

Papers | 更新时间：2024-06-05

- Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication
- Journal on Communications Vol. 40, Issue 3, Pages: 102-108(2019)
- 作者机构：
  
  1. 西安理工大学自动化与信息工程学院，陕西西安 710048
  2. 西南科技大学特殊环境机器人技术四川省重点实验室，四川绵阳 621010
- 作者简介：
- 基金信息：
  
  The Natural Science Foundation of China-Civil Aviation Administration of China Joint Research Fund(U1433110);Science and Technology Planning Program Funded by Beilin District of Xi’an(GX1617);Scientific Research Program Funded by Shaanxi Provincial Education Department(17-JF024);Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province(17kftk04)
- DOI：10.11959/j.issn.1000-436x.2019065
  CLC： TN929.1
- Online First：2019-03，
  
  Published：25 March 2019
- 稿件说明：
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Taifei ZHAO, Longfei LIU, Jing WANG, et al. Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication[J]. Journal on Communications, 2019, 40(3): 102-108.
DOI：

Taifei ZHAO, Longfei LIU, Jing WANG, et al. Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication[J]. Journal on Communications, 2019, 40(3): 102-108. DOI： 10.11959/j.issn.1000-436x.2019065.

摘要

无线紫外光散射通信系统具有严重的码间干扰和信号衰减问题，针对该问题，提出了一种基于信噪比估计的改进常模分数间隔均衡器（CMA-FSE）算法。该算法将分数间隔均衡器（FSE）和常模算法（CMA）结合起来对无线紫外光信道进行盲均衡，使用接收信号的均方值衡量输入信噪比来确定最佳迭代步长，保证均衡算法快速收敛。仿真结果表明，改进CMA-FSE算法能在各种信噪比下快速收敛，并有效抑制码间干扰，改善系统误码率性能。与现有算法相比，改进算法信道跟踪和噪声抑制能力更强。

Abstract

There are serious intersymbol interference (ISI) and signal attenuation in wireless ultraviolet communication system.Aiming at this problem

an improved constant modulus fractionally spaced equalizer (CMA-FSE) based on signal-to-noise (SNR) estimation was proposed.The algorithm combined the fractionally spaced equalizer (FSE) and constant modulus algorithm (CMA) for blind equalization of wireless ultraviolet channels.The input SNR was measured by the mean square value of the received signal

and it was used to determine the best iterative step to ensure the convergence of the equalization algorithm.Simulation results show that the improved CMA-FSE algorithm can converge rapidly under various SNR

and it can effectively suppress ISI and improve the BER performance of the system.Compared with the existing algorithms

the improved algorithm is more useful in channel tracking and noise suppression.

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references

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