Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (11): 86-90.DOI: 10.3778/j.issn.1002-8331.1612-0282

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Spectrum sensing for OFDM signals based on Graph

BAI Yu, YAN Kun, LI Shaopeng, ZHANG Huawei, LIU Yi   

  1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
  • Online:2018-06-01 Published:2018-06-14


白  玉,闫  坤,李少鹏,张华伟,刘  毅   

  1. 桂林电子科技大学 信息与通信学院,广西 桂林 541004

Abstract: The problem of detecting Orthogonal Frequency Division Multiplexing(OFDM) signals in cognitive radios is of great significance along with the extensive use of OFDM in the modern?wireless communication systems. The discrete signal processing on graph framework is introduced, and a method of spectrum sensing based on graph is proposed for OFDM signals. The detection principle and the decision threshold are analyzed in detail. Finally, the feasibility of this method is verified by the Monte Carlo simulation experiment. The simulation results show that this method has good detection performance in low Signal-to-Noise?Ratio(SNR).

Key words: cognitive radio, spectrum sensing, Orthogonal Frequency Division Multiplexing(OFDM), graph, adjacency matrix

摘要: 随着OFDM信号被广泛应用到现代无线通信系统中,认知无线电中OFDM信号的检测具有重要意义。引入基于图的离散信号处理理论,提出了一种基于图分析的OFDM信号频谱感知方法,详细分析了其检测原理及判决门限的设定,并最后通过蒙特卡洛仿真实验,验证了这种方法的可行性并分析了检测性能,仿真结果表明,在较低信噪比下,这种方法仍具有良好的检测性能。

关键词: 认知无线电, 频谱感知, 正交频分复用(OFDM), 图, 邻接矩阵