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基于峭度的盲分离在通信信号盲侦察中的应用 被引量:8

Application of Blind Source Separation Based on Kurtosis in Communication Signal Blind Reconnaissance
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摘要 为实现复杂多信号环境下的通信信号侦察,采用一种新的盲侦察技术,即运用盲源分离算法,在没有任何先验知识的情况下分离出源信号,然后对分离的各个信号进行后续处理。提出一种改进的基于峭度的盲分离算法,可以自适应地确定激活函数。将其应用在通信信号盲侦察中,可以实现对任意源信号进行盲分离,而不管它是超高斯还是亚高斯信号。选择超高斯和亚高斯混合通信信号进行了仿真实验,结果验证了该算法的有效性。 In order to realize communication reconnaissance under the circumstances with complex multiple signals,a new blind reconnaissance technology is proposed,which adopts a algorithm of blind source separation.The original signals could be separated by this method without any priori information for the following signal processing.A new algorithm of blind source separation based on kurtosis is proposed,which could adaptively determine activation function.This algorithm is applied in the communication signal blind reconnaissance,thus realizing the blind separation of any original signal,no matter it is super-Gaussian or sub-Gaussian signal.Super-Gaussian and sub-Gaussian communication signals are selected for simulation,and the simulation result shows that this algorithm is feasible and effective.
作者 李莉 崔琛
机构地区 电子工程学院
出处 《通信技术》 2010年第4期133-135,138,共4页 Communications Technology
关键词 盲分离 峭度 通信信号 侦察 blind source separation kurtosis communication signal reconnaissance
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