无线网络拓扑瞬态时变干扰下的信号分解模型仿真

摘要

无线网络拓扑结构容易受到瞬态时变干扰。为了保证信号的完整性，采用自适应滤波器对瞬态时变干扰进行滤除，并建立信号分解模型对信号进行分解。不同调频信号在不同信噪比下进行仿真实验表明，针对同一子带，该方法增加幅度低，得到的实验结果优；针对分解结果，该方法的分解次数较集成经验模态分解方法更少，且频率过度更加自然；在该分解方法的Hilbert谱图中，频率分量清晰明确，证明了该模型在无线网络拓扑瞬态时变干扰下可以对信号进行合理准确的分解。%Transient time-varying wireless network topology is vulnerable to interference. In order to ensure the integrity of the signal, a signal decomposition model, which wses the adaptive filter to filter out of transient time-va-rying interference, is established to decompose the signal. The results of different frequency modulation signal sim-ulation experiment under the different signal to noise ratio show that, for the same subband, the amplitude addition is low, and experimental results is good. In view of the decomposition results, the decomposition times is less than that of the integration of empirical mode decomposition methods, and the frequency transition is more natural. In the Hilbert spectrum diagram, the frequency component is clear which proves the model is reasonably accurate.