面向车联网的激光雷达通信信号波形模式识别  

Pattern recognition of lidar communication signal waveform for vehicle networking

作　　者：余晓玫 高飞 李文娟 谭祥 王海江[3] YU Xiaomei;GAO Fei;LI Wenjuan;TAN Xiang;WANG Haijiang(Communication and Information Engineering,Chongqing Mobile University,Chongqing 401520,China;Chongqing Key Laboratory of Public Big Data Security Technology,Chongqing Mobile University,Chongqing 401520,China;School of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610000,China)

机构地区：[1]重庆移通学院通信与信息工程学院,重庆401520 [2]重庆移通学院公共大数据安全技术重庆市重点实验室,重庆401520 [3]成都信息工程大学电子工程学院,成都610000

出　　处：《激光杂志》2023年第9期166-171,共6页Laser Journal

基　　金：重庆市教委科学技术研究项目(No.KJQN202002403);重庆市教委科学技术研究项目(No.KJQN202002401);重庆市虚拟教研室“新一代信息技术创新应用教研室”建设成果。

摘　　要：为提高车联网激光雷达通信信号的信息传输识别效率,提出一种面向车联网的激光雷达通信信号波形模式识别方法。分离处理信号中时域部分,单独分析信号波谱形态,计算信号频谱中心波段频率,凭借归一化处理减少特征提取计算量,计算雷达矩形信号和三角形信号的相像系数,描述信号能量分布情况,通过分形维数深度分析信号盒维数和信号分形集的复杂程度,优化改进灰关联分析法,以降低特征参数的误差和数据差,利用自适应熵权法确定信号特征对应权系数,自适应匹配各信号波形特征权重,最终将信号特征组合得到识别结果。实验结果表明,本方法对信号分解细致,信号识别时间最长为1.67 s,说明本方法的信号识别率高、速度快、鲁棒性好,具有一定的实用性。In order to improve the efficiency of information transmission and recognition of LIDAR communication signals in the Internet of Vehicles,a waveform pattern recognition method for LIDAR communication signals in the In-ternet of Vehicles is proposed.The time-domain part of the signal is separated and processed,the signal spectrum morphology is analyzed separately,the frequency of the central band of the signal spectrum is calculated,the amount of feature extraction calculation is reduced by normalization,the phase coefficients of radar rectangular signals and tri-angular signals are calculated,the signal energy distribution is described,the signal box dimension and the complexity of the signal fractal set are analyzed through the depth of the fractal dimension,and the gray correlation analysis meth-od is optimized and improved,In order to reduce the error and data difference of feature parameters,the adaptive en-tropy weight method is used to determine the corresponding weight coefficient of signal features,adaptively match the weight of each signal waveform feature,and finally combine the signal features to obtain the recognition result.The ex-perimental results show that the method in this paper decomposes the signal in detail,and the maximum signal recogni-tion time is 1.67 s,which shows that the method in this paper has high signal recognition rate,fast speed,good ro-bustness and certain practicality.

关 键 词：车联网 雷达通信信号 信号波形 信号识别 信号采样 特征提取 

分 类 号：TN979[电子电信—信号与信息处理]