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基于自适应的光通信系统信道盲均衡技术研究 被引量:2

Research on channel blind equalization technology of optical communication system based on adaptive
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摘要 传统光通信系统盲均衡方法依据信号序列的统计特征进行盲均衡训练,未考虑信号序列中的噪音因素,导致信号序列存在共线性问题,且对数据长度有较高的依赖性,均衡效果差,为此提出基于自适应的光通信系统信道盲均衡方法。首先构建光通信系统接收机等效噪音和信道数学模型,明确大气湍流强度、高斯白噪音和光通信系统信道间的关系,然后构建光通信QPSK调制盲均衡模型,采用基于脊回归(RR)的光通信系统信道盲均衡方法,构建脊回归盲均衡代价函数,将光通信系统信道盲均衡问题,转换成求解无约束优化问题,实现光通信系统信道的盲均衡,最后实验结果表明,该方法收敛效率高、误码率低,对数据长度的依赖性低,盲均衡效果佳。 The blind equalization method of the traditional optical communication system performs blind equaliza- tion training according to the statistical characteristics of the signal sequence. The noise factor in the signal sequence is not considered,resulting in a collinearity problem in the signal sequence,the data length is highly dependent,and the equalization effect is poor. Therefore,an adaptive blind channel equalization method for optical communication systems is proposed. Firstly,the equivalent noise and channel mathematical model of the optical communication system receiver are constructed,and the relationships of the optical communication system channel between atmospheric turbulence in- tensity and Gaussian white noise are clarified. Then,the optical communication QPSK modulation blind equalization model is constructed,and the channel blind equalization method of communication system is constructed,to construct rake regression blind equilibrium cost function. The channel blind equalization problem of optical communication sys- tem is transformed into solving the unconstrained optimization problem,and the blind equalization of the channel of the optical communication system is realized. The experimental results show that the method has high convergence efficien- cy,low error rate,low dependence on data length,and good blind equalization effect.
作者 代红英 张仁永 DAI Hongying;ZHANG Renyong(College of Electronic Information,Chongqing Institute of Engineering,Chongqing 400056,China)
出处 《激光杂志》 北大核心 2019年第10期177-181,共5页 Laser Journal
基金 重庆市教育委员会科学技术研究项目(No.KJ1717369)
关键词 光通信系统 信道 盲均衡 脊回归 噪音 代价函数 optical communication systems channel blind equilibrium ridge regression noise cost function
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