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计算机系统应用:2018,27(11):149-154
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复杂电磁环境下基于信号稀疏表示的干扰抑制与通信信号重构方法
刘高辉, 周熊
(西安理工大学 自动化与信息工程学院, 西安 710048)
Interference Suppression and Communication Signal Reconstruction Method Based on Signal Sparse Representation in Complex Electromagnetic Environment
LIU Gao-Hui, ZHOU Xiong
(Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China)
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投稿时间:2018-03-06    修订日期:2018-03-28
中文摘要: 在复杂电磁环境下,通信信号与干扰在时频域重叠而难以分离,针对这一问题,提出了一种基于信号稀疏表示的干扰抑制与通信信号重构方法.首先,通过K阶奇异值分解(K-Singular Value Decomposition,K-SVD)算法,分别构造通信信号与干扰的过完备子字典;然后,对过完备子字典进行联合构建联合字典,利用正交匹配追踪(Orthogonal Matching Pursuit,OMP)算法实现信号的分离和重构;最后,对时频重叠下的2ASK信号和2PSK信号的干扰抑制和重构过程进行了计算机仿真,再对OFDM信号的干扰抑制和信号重构过程进行了实验验证.仿真及实验结果表明:该方法可以实现时频重叠情况下通信信号的干扰抑制与信号重构.
Abstract:In a complex electromagnetic environment, communication signals and interference overlap in the time-frequency domain, and they are difficult to be separated. To solve this problem, a method of interference suppression and communication signal reconstruction based on signal sparse representation is proposed. Firstly, the K-Singular Value Decomposition (K-SVD) algorithm is used to construct the over-complete sub-dictionaries of communication signals and interferences. Then, we build a joint dictionary by over-complete sub-dictionaries, and use the Orthogonal Matching Pursuit (OMP) algorithm to separate and reconstruct the signals. Finally, we simulate the interference suppression and reconstruction process of time-frequency overlapping 2ASK signal and 2PSK signal by computer, and verify the process of interference suppression and signal reconstruction of OFDM signal by experiments. The simulation experimental results show that this method can realize the interference suppression and signal reconstruction of communication signals under the condition of time-frequency overlapping.
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基金项目:国家自然科学基金(61671375)
引用文本:
刘高辉,周熊.复杂电磁环境下基于信号稀疏表示的干扰抑制与通信信号重构方法.计算机系统应用,2018,27(11):149-154
LIU Gao-Hui,ZHOU Xiong.Interference Suppression and Communication Signal Reconstruction Method Based on Signal Sparse Representation in Complex Electromagnetic Environment.COMPUTER SYSTEMS APPLICATIONS,2018,27(11):149-154

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