基于K均值算法的逆向调制光通信信号判决方法  

Decision method of reverse modulation optical communication signal based on K-means algorithm

作　　者：方晓东 徐智勇 汪井源 李建华 王卫卫 赵继勇 黄忠虎 FANG Xiaodong;XU Zhiyong;WANG Jingyuan;LI Jianhua;WANG Weiwei;ZHAO Jiyong;HUANG Zhonghu(College of Communication Engineering,Army Engineering University of PLA,Nanjing 210001,China;Global Institute of Software Technology,Suzhou Jiangsu 215163,China)

机构地区：[1]中国人民解放军陆军工程大学通信工程学院,南京210001 [2]苏州高博软件技术职业学院,江苏苏州215163

出　　处：《光通信技术》2021年第12期46-49,共4页Optical Communication Technology

摘　　要：逆向调制无线光通信在无人机、小型化平台等领域具有广阔的应用前景,但是易受大气湍流的影响,接收信号会出现较大的低频随机性起伏,使用固定阈值的硬判决方法判决时误码率较高。为了提高信号判决的准确率,提出一种基于K均值算法的信号判决方法,通过学习接收到样值点的内在特征,依据其相似性动态自适应地对该窗口内的样值点进行分类。研究结果表明:湍流信道条件下,与传统的硬判决方法相比,基于K均值算法的信号判决方法误码性能更优,误码率为10-6时,信噪比需求降低约2 dB。Reverse modulation wireless optical communication has broad application prospects in unmanned aerial vehicle,miniaturized platform and other fields,but it is easy to be affected by atmospheric turbulence,the received signal will have large low-frequency random fluctuation,and the bit error rate is high when using the hard decision method with fixed threshold.In order to improve the accuracy of signal decision,a signal decision method based on K-means algorithm is proposed.By learning the internal characteristics of the received sample points,the sample points in the window are dynamically and adaptively classified according to their similarity.The research results show that under the condition of turbulent channel,compared with the traditional hard decision method,the signal decision method based on K-means algorithm has better bit error performance.When the bit error rate is 10-6,the signal-to-noise ratio requirement is reduced by about 2 dB.

关 键 词：光通信 逆向调制 湍流 K均值算法 判决解调 

分 类 号：TN929.1[电子电信—通信与信息系统]