通信学报 ›› 2019, Vol. 40 ›› Issue (3): 102-108.doi: 10.11959/j.issn.1000-436x.2019065

• 学术论文 • 上一篇    下一篇

无线紫外光散射通信中的改进CMA-FSE盲均衡算法

赵太飞1,2,刘龙飞1,王晶1,杨黎洋1   

  1. 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
  • 修回日期:2018-09-20 出版日期:2019-03-01 发布日期:2019-04-04
  • 作者简介:赵太飞(1978- ),男,河南浚县人,博士,西安理工大学教授,主要研究方向为紫外光散射通信技术、路由技术、网络抗毁性技术、物联网技术等。|刘龙飞(1994- ),男,陕西宝鸡人,西安理工大学硕士生,主要研究方向为无线紫外光散射通信中的码间干扰抑制。|王晶(1993- ),女,陕西宝鸡人,西安理工大学硕士生,主要研究方向为无线紫外光散射通信中的信道特性。|杨黎洋(1991- ),男,河南平舆人,西安理工大学硕士生,主要研究方向为无线紫外光散射通信中的微弱信号检测。
  • 基金资助:
    国家自然科学基金-中国民航局民航联合研究基金资助项目(U1433110);西安市碑林区科技计划基金资助项目(GX1617);陕西省教育厅科研计划基金资助项目(17-JF024);特殊环境机器人技术四川省重点实验室开放基金资助项目(17kftk04)

Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication

Taifei ZHAO1,2,Longfei LIU1,Jing WANG1,Liyang YANG1   

  1. 1 Faculty of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China
    2 Robot Technology Used for Special Environment Key Laboratory of Sichuan Province,Southwest University of Science and Technology,Mianyang 621010,China
  • Revised:2018-09-20 Online:2019-03-01 Published:2019-04-04
  • Supported by:
    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)

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。

关键词: 紫外光散射通信, 码间干扰, 信道均衡, 信噪比估计

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.

Key words: ultraviolet communication, intersymbol interference, channel equalization, signal-to-noise radio estimation

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