论文部分内容阅读
传统通信侦察在复杂多信号环境下遇到难题,为此提出一种新的盲侦察技术,采用独立分量分析结合预处理和后处理技术分离出原始信号。该技术首先利用小波变换对各路含噪的通信复信号进行降噪处理,然后利用独立分量分析对降噪后的混叠信号进行盲分离,最后对各路分离出来的信号利用恒模算法进行后处理。仿真表明,采用该方法在无需任何先验知识的情况下,可以有很好的分离效果。
Traditional communications reconnaissance has encountered many problems in complex multi-signal environments. Therefore, a new blind reconnaissance technique is proposed to separate original signals by using independent component analysis combined with pre-processing and post-processing techniques. Firstly, this technology uses wavelet transform to denoise the complex signals of each noisy communication, and then uses the independent component analysis to blindly separate the denoised aliased signals. Finally, the signals separated by each method are processed by the constant modulus algorithm Post-processing. The simulation shows that this method can be separated well without any prior knowledge.