摘要
为降低通信传输中信号所携带的噪声,提高通信服务质量,以无线通信传输网络为例,在干扰环境下开展抗干扰方法的设计。通过自适应滤波器和傅里叶变换技术,去除通信信号中的噪声成分。利用机器学习算法,实现无线通信传输信道中干扰信号的精准定位。通过动态反馈机制和节点位置更新策略,完成动态抗干扰设计,进一步降低干扰影响。实验结果表明,该方法显著提升了信噪比,降低了误码率,并有效屏蔽了干扰信号,验证了其在复杂干扰环境下的有效性和实用性。
To reduce the noise carried by signals in communication transmission and improve the quality of communication services,taking the wireless communication transmission network as an example,the design of antiinterference methods is carried out under the interference environment.By using adaptive filters and Fourier transform technology,the noise components in communication signals are removed.Machine learning algorithms are utilized to accurately locate the interference signals in the wireless communication transmission channel.Through dynamic feedback mechanisms and node position update strategies,the dynamic anti-interference design is completed,further reducing the impact of interference.Experimental results show that this method significantly improves the signalto-noise ratio,reduces the bit error rate,and effectively shields interference signals,verifying its effectiveness and practicality in complex interference environments.
作者
晁晓宏
CHAO Xiaohong(China Information Consulting&Designing Institute Co.,Ltd.,Nanjing 210000,China)
出处
《通信电源技术》
2025年第19期4-7,共4页
Telecom Power Technology
关键词
干扰环境
抗干扰方法
无线通信传输
interference environment
anti-interference methods
wireless communication transmission
