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Solutions to Data Reception with Improve Blind Source Separation in Satellite Communications

机译:通过改善卫星通信中的盲来源分离的数据接收解决方案

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In satellite network, when the data is transmitted to the nearest base station on the ground with satellite cross-links, the attack appears to come from one satellite, but it's actually from multiple satellites. Especially in non-cooperative communication, the separation of received signals is a difficult task. In this article, solve the problem with blind source separation method is feasible. The contributions in this paper is as follows, firstly, signal sparsity is completed by computing the Short Time Fourier Transform (STFT), secondly, we separate the mixed source signals by improved PSO clustering. At last, we verify the proposed method by several simulations. The experimental results demonstrate the effectiveness of the proposed method.
机译:在卫星网络中,当数据与卫星交联在地面上的最近的基站上传输到最近的基站时,攻击似乎来自一个卫星,但它实际上来自多个卫星。特别是在非合作通信中,接收信号的分离是一项艰巨的任务。在本文中,解决盲源分离方法的问题是可行的。本文的贡献如下,首先,通过计算短时间傅里叶变换(STFT)来完成信号稀疏,其次,我们通过改进的PSO聚类分离混合源信号。最后,我们通过多个模拟验证了所提出的方法。实验结果表明了所提出的方法的有效性。

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