摘要
为了准确检测无线通信发射机信号转换异常的情况,提高无线通信质量,基于小波变换研究无线通信发射机信号转换异常的监测方法。根据通信网络节点,采集无线通信发射机信号转换异常的信息集。利用离散型小波变换方法,提取异常信号的时频特征。采用相对小波时间熵算法,构建异常信号的实时检测模型,检测无线通信发射机信号的转换异常情况。测试结果显示,所提出异常检测方法检测结果正确率的平均值为97.24%,精确率的平均值为91.40%,召回率的平均值为92.93%,F1值的平均值为93.05%,提高了异常信号检测的准确性,提高了通信质量,可满足实际工程要求。
In order to accurately detect the abnormal signal conversion of wireless communication transmitter and improve the effect of wireless communication,a method of monitoring the abnormal signal conversion of wireless communication transmitter is studied based on wavelet transform.According to the operation node of the communication signal,the information set of the abnormal signal conversion of the wireless communication transmitter is collected.Using discrete wavelet transform method,the time-frequency characteristics of abnormal signals are extracted.Based on the relative wavelet time entropy algorithm,the real time detection model of abnormal signal is built to realize the identification and detection of the abnormal signal conversion of wireless communication transmitter.The test results show that the average accuracy rate of abnormal detection method in this paper is 97.24%,the average accuracy rate is 91.40%,the average recall rate is 92.93%,and the average F1 value is 93.05%,indicating that the proposed method has improved the accuracy of detection results and the communication effect,meeting the actual engineering requirements.
作者
宋光伟
SONG Guangwei(Tianjin Photoelectric Communication Technology Co.,Ltd.,Tianjin 300221,China)
出处
《通信电源技术》
2022年第24期44-46,共3页
Telecom Power Technology
关键词
小波变换
信号转换异常
异常检测方法
wavelet transform
abnormal signal conversion
abnormal detection method
