无线网络拓扑瞬态时变干扰下的信号分解模型仿真

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。

Wireless network topology under transient time-varying interference signal decomposition model simulation

Transient time-varying wireless network topology is vulnerable to interference. In order to ensure the integrity of the signal, a signal decomposition model, USES the adaptive filter to filter out of transient time-varying interference, and establish the signal decomposition model to decompose the signal. By adding different frequency modulation signal simulation experiment under the different signal to noise ratio, the results are as follows: for the same subband, rises significantly lower method in this paper, the experimental results better; In view of the decomposition results, the method of decomposition times less than the integration of empirical mode decomposition methods, and excessive more natural frequency; Decomposition methods in this article, the Hilbert spectrum diagram, the frequency component of the clear and proved in this paper, the model in wireless network topology under transient time-varying interference signal can be reasonably accurate.