摘要
为解决多设备载波通信混合信号噪声干扰较大,影响通信传输安全性能的问题,提出一种多设备载波通信干扰批量抑制方法。在物联网环境下,通过天线接收多设备载波通信的混合信号,运用小波去噪方法去除噪声信号,获取到包含跳频信号与梳状阻塞干扰信号的源信号,然后采用独立分量分析算法得出分离矩阵,分离出跳频信号与梳状阻塞干扰信号,实现对物联网环境下多设备载波通信干扰的批量抑制。实验结果表明,该方法可有效降低通信噪声信号幅值,具有较高的去噪效果,能够有效分离通信混合信号,批量抑制通信中的梳状阻塞干扰,为物联网环境下多设备载波通信的安全稳定运行提供保障。
In order to solve the problem that the mixed signal noise interference of multi device carrier communication is large,which affects the security of communication transmission,a batch suppression method for multi-device carrier communication interference was proposed.In the Internet of things environment,the mixed signal of multi equipment carrier communication was received through the antenna,and the noise signal was removed by wavelet denoising method,and the source signal including frequency hopping signal and comb blocking interference signal was obtained.Then,the separation matrix was obtained based on the independent component analysis algorithm,and the frequency hopping signal and comb jamming signal were separated,and finally the batch suppression of multi-device carrier communication interference in the Internet of Things environment was realized.The experimental results show that this method can effectively reduce the amplitude of communication noise signal,has a high de-noising effect,can effectively separate the communication mixed signals,and can suppress the comb blocking interference in communication in batches,and provide guarantee for the safe and stable operation of multi device carrier communication in the Internet of things environment.
作者
张乐
ZHANG Le(School of Information Engineering,Fujian Business University,Fuzhou 350506,China)
出处
《成都工业学院学报》
2022年第3期27-30,50,共5页
Journal of Chengdu Technological University
基金
福建省中青年教师教育科研项目(JAT200398)。
关键词
物联网
多设备
载波通信
干扰信号
小波去噪
独立分量分析
Internet of Things
many devices
carrier communication
interference signal
wavelet denoising
independent component analysis
