微型电脑应用2026，Vol.42Issue(4)：129-133,5.
基于稀疏贝叶斯和云计算的网络宽带通信干扰抑制
Network Broadband Communication Interference Suppression Based on Sparse Bayesian and Cloud Computing
摘要
Abstract
Network broadband communication faces complex interference problems such as multipath effect,and the quantiza-tion operation of interference signals is complex,it is difficult to completely suppress interference.Therefore,a network broad-band communication interference suppression method based on sparse Bayesian and cloud computing is proposed.Communica-tion interference characteristic parameters are obtained by analyzing the characteristics of channel multipath effect in time do-main and frequency domain.The cloud computing platform is used to process channel characteristic parameters,simplify com-putations by partitioning in the cloud,quickly identify network interference signals,quantify interference behavior signals,and realize interference signal detection.Using sparse Bayesian algorithm,sparsity assumption and Bayesian inference are intro-duced,the quantized interference signal is sparsely represented to further accurately estimate the pure interference signal.Through inverse transformation,it is converted back to the original domain,and the interference signal is removed from the re-ceived signal to retain the useful signal,realizing interference suppression.The experimental results confirm that the proposed method can effectively filter out interference components,improve the anti-interference ability of network broadband communi-cation,and enhance signal quality and clarity.关键词
稀疏贝叶斯方法/云计算/网络宽带/干扰抑制/信道分析Key words
sparse Bayesian method/cloud computing/network broadband/interference suppression/channel analysis分类
信息技术与安全科学引用本文复制引用
袁飞,张超..基于稀疏贝叶斯和云计算的网络宽带通信干扰抑制[J].微型电脑应用,2026,42(4):129-133,5.基金项目
中国民用航空局项目(民航中南招标备字[2023]61号) （民航中南招标备字[2023]61号）
