基于独立分量分析(ICA)的通信信号盲侦察技术

Communication signal blind reconnaissance technology based on independent component analysis

在通信对抗中,由于电磁环境的复杂性和通信信号调制方式的多样性,我们事前无法确知接收信号的任何信息,给通信侦察带来了极大的困难.为解决复杂多信号环境下的通信侦察难题,作者提出了一种采用独立分量分析(ICA)技术,对原始信号进行盲分离,然后分别对分离的各个信号进行后续处理的盲侦察技术.在介绍ICA技术的基础上,采用基于自然梯度的ICA算法(EASI算法)对分离效果进行了仿真.仿真结果表明,采用该方法在无需任何先验知识的情况下(如载频、信号带宽、调制样式),可以很好地分离出原始发射信号,为后续信号处理(如分析识别、解调等)奠定了基础.

Due to the complexity of the electromagnetism circumstance and the multiplicity of the signal modulation mode in communication countermeasure, we can not know prior any information of the original signal, which bring great difficulty for communication countermeasure. In order to solve the difficult problem of com- munication countermeasure in circumstance of complex multiple signals, we propose a new blind reconnaissance technology, which adopts independent component analysis （ICA） technology to separate the original signals blindly and implement following signal processing to each of the resulting signals. Based on the intro- ducing ICA technology, We simulate the separation effect using EASI-based （Equivariant Adaptive Separation via Independent） ICA algorithm. The simulation result shows that original signals can be separated primely by adopting this method without ariy priori information （i. e. carrier frequency, signal bandwidth and modulation mode）, which establish a base for following signal processing, such as signal analysis and identity, demodu- lating and so on.