Laser & Optoelectronics Progress, Volume. 59, Issue 11, 1107003(2022)

Extraction Algorithm of Co-Frequency Aliased Signals Based on Relaxation Modified Fast Independent Component Analysis

Qiang Li, Xiaofang Cao*, and Dong Shen
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lan Zhou730030, Gansu , China
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    Figures & Tables(11)
    Principle of blind source separation
    Flow chart of DLM-FastICA algorithm
    Source signal waveforms
    Source signal spectra
    Mixed signals at receiver
    Signals extracted by FastICA algorithm
    Signals extracted by DLM-FastICA algorithm
    Similarity coefficients between extracted signals and source signals. (a) Extracted signal 1 and source signal; (b) extracted signal 2 and source signal; (c) extracted signal 3 and source signal; (d) extracted signal 4 and source signal
    Comparison of average similarity
    Comparison of algorithm convergence
    Comparison of algorithm iteration times
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    Qiang Li, Xiaofang Cao, Dong Shen. Extraction Algorithm of Co-Frequency Aliased Signals Based on Relaxation Modified Fast Independent Component Analysis[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1107003

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    Paper Information

    Category: Fourier Optics and Signal Processing

    Received: Jul. 28, 2021

    Accepted: Sep. 8, 2021

    Published Online: Jun. 9, 2022

    The Author Email: Xiaofang Cao (511865810@qq.com)

    DOI:10.3788/LOP202259.1107003

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