优化神经网络的光通信系统信号调制方法
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摘要
光通信系统信号调制技术可用于信号确认、干扰识别、电子战对抗以及星间链路通信等方面。针对光通信系统中的信号调制方法存在耗时较长、误差率较高等问题,提出基于优化神经网络的光通信系统信号调制方法,首先通过采集光通信载波芯片发送的调制信号样值,经过预处理后,提取出光通信系统的四类信号特征参数,然后构建优化神经网络模型对提取到的信号特征参数进行调制类别划分,并为了提高模型调制类型判别的准确性,利用霍特林变换对模型进行优化,实现光通信系统中的信号调制,最后实验结果表明,优化神经网各能够有效减少信号调制时间,降低信号调制过程中的误差,大大提高信号调制准确度。
Signal modulation technology in optical communication system can be used in signal recognition,jamming identification,EW,and inter satellite link communication. In light of the problem of long time consuming and high error rate in optical communication system communication,the signal modulation method of optical communication system based on optimal neural network is proposed. First,the four kinds of signals of optical communication system are extracted after preprocessing. In order to improve the accuracy of the model modulation type discrimination,Hotelling transform is used to optimize the model to realize the signal modulation in the communication system of optical communication system. Finally,the experimental results show that the optimized neural network is optimized. The network can effectively reduce signal modulation time,reduce errors in signal modulation process,and greatly improve the accuracy of signal modulation.
Signal modulation technology in optical communication system can be used in signal recognition,jamming identification,EW,and inter satellite link communication. In light of the problem of long time consuming and high error rate in optical communication system communication,the signal modulation method of optical communication system based on optimal neural network is proposed. First,the four kinds of signals of optical communication system are extracted after preprocessing. In order to improve the accuracy of the model modulation type discrimination,Hotelling transform is used to optimize the model to realize the signal modulation in the communication system of optical communication system. Finally,the experimental results show that the optimized neural network is optimized. The network can effectively reduce signal modulation time,reduce errors in signal modulation process,and greatly improve the accuracy of signal modulation.
引文
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[4]叶庆.偏置信号和噪声对单模激光随机共振的影响[J].激光技术,2017,41(4):602-605..
[5]郑刚,程用志,毛雪松.基于伪随机码调制的车载激光雷达距离速度同步测量方法[J].计算机应用,2017,37(3):911-914.
[6]范夏雷,金尚忠,张枢,等.多频率合成主动抑制激光稳频的剩余幅度调制[J].中国激光,2016,43(4):1-6.
[7]杨玮萍,郑宾,张志刚,等.激光外差探测中高频调制信号解调技术的研究[J].电子器件,2016,39(2):365-369.
[8]李贺,邓学文,朱奎宝,等.光纤陀螺抑制过调制串扰的多态方波调制方法[J].红外与激光工程,2017,46(8):218-224.
[9]杨智伟,焦月春,韩小萱,等.调制激光场中Rydberg原子的电磁感应透明[J].物理学报,2016,65(10):61-66.
[10]廖宇,冯国英,莫军,等. 0. 73~1. 7μm超宽带微纳光纤波导全光调制器[J].光谱学与光谱分析,2017,37(11):3621-3625.
[11]甄佳奇,仲维丹,布音嘎日迪,等.正弦调制多光束激光外差测量压电材料电致伸缩系数[J].发光学报,2017,38(12):1661-1667..
[12]黄鑫,胡姝玲,牛燕雄,等.激光多普勒测速系统自适应阈值检测算法[J].北京航空航天大学学报,2017,43(5):992-997.
[13]龚娟娟,陈炳炜,叶小虎,等.全光相位调制器的信号解调系统[J].激光杂志,2017,38(7):122-125.
[14]俞李斌,王飞,张立芳,等.二次谐波调制信号对低体积分数氨气测量的影响[J].动力工程学报,2016,36(2):130-135.
[15]张斌,李佳潞,赵冬娥,等.基于小波滤波及相关分析的激光光幕破片测速信号数据处理[J].兵工学报,2016,37(3):489-495.
[16]李志刚,刘智深,Oliver,等.空间多普勒激光雷达地面散射信号分析[J].应用光学,2016,37(6):796-803.