中圖分類號(hào)： TN95 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.212012 中文引用格式： 馮平興,，張洪波,，李文翔. 噪聲中的復(fù)信號(hào)盲源分離算法[J].電子技術(shù)應(yīng)用，2022,，48(4)：67-70,，75. 英文引用格式： Feng Pingxing，Zhang Hongbo,，Li Wenxiang. Blind source separation algorithm for complex signals in noise[J]. Application of Electronic Technique,，2022，48(4)：67-70,，75.
Blind source separation algorithm for complex signals in noise
Feng Pingxing1,，Zhang Hongbo2,，Li Wenxiang1
1.School of Network and Communication Engineering,，Chengdu Technological University，Chengdu 611731,，China,； 2.School of Communication and Information Engineering，Chengdu University of Information Technology,，Chengdu 610103,，China
Abstract： Complex signal analysis is one of the common problems in signal processing technology. In blind signal separation technology, especially convolution mixing problem or frequency domain analysis, it is necessary to establish the corresponding complex value analysis model. In the previous analysis, such problems are often based on a noise free constraint, which limits the application of this technology in practice. In order to solve this problem, this research extends the complex valued blind source separation to the more general environment that with noise. By analyzing the general characteristics of Gaussian noise and using the parameter information of Gaussian noise covariance, a fixed point algorithm for blind source separation in noisy environment is derived. The algorithm can estimate the corresponding effective separation matrix through observed signals in noisy environment. The simulation results show the feasibility and effectiveness of the proposed method.
Key words : blind source separation,；complex signal processing；Gaussian noise,；signal recovery
