Blind separation methods of signals in complex electromagnetic environment
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摘要: 介绍了基于盲源分离的信号处理基本思想，阐述了ICA，SOBI，AMUSE三种典型算法的原理、特点，通过仿真实验研究了这三种盲源分离算法对于常见波形信号和真实信号的分离性能及其抗噪能力，验证了算法的有效性和可行性。三种方法对于抑制干扰信号，进行信号的有效提取具有实际意义和使用价值。Abstract: In this paper, we introduce the blind source separation(BSS) based signal processing idea, its mathematical model and three typical algorithmsICA, SOBI and AMUSE. We also study the performance of the three algorithms using common waveform signals and the true signals. The experiments indicate that the algorithms are effective and feasible for suppressing interfering signals and extracting useful signals.
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