TY - GEN
T1 - A kernel-based nonlinear blind source separation algorithm with reference and its application in satellite micro-vibration system
AU - Luo, Xin
AU - Zhang, Zhousuo
AU - Gong, Teng
AU - Yang, Yuheng
AU - Li, Yongjie
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - this paper, a kernel-based nonlinear blind source separation algorithm with reference information is proposed to identify the harmonic source signals in satellite micro-vibration system. The kernel feature space with reduced dimension constructed by the proposed algorithm can transform the nonlinear blind source separation in the input space into linear blind source separation. In the linear blind source separation phase, aiming at the weak non-Gaussian characteristic of micro-vibration harmonic sources, a new linear blind source separation objective function with reference information is proposed to ensure the accuracy of source identification. The effective estimated signals of the sources are selected from the linear separated signals according to the spectrum correlation coefficient index. The effectiveness of the proposed algorithm is verified by the satellite cabin structure experiment.
AB - this paper, a kernel-based nonlinear blind source separation algorithm with reference information is proposed to identify the harmonic source signals in satellite micro-vibration system. The kernel feature space with reduced dimension constructed by the proposed algorithm can transform the nonlinear blind source separation in the input space into linear blind source separation. In the linear blind source separation phase, aiming at the weak non-Gaussian characteristic of micro-vibration harmonic sources, a new linear blind source separation objective function with reference information is proposed to ensure the accuracy of source identification. The effective estimated signals of the sources are selected from the linear separated signals according to the spectrum correlation coefficient index. The effectiveness of the proposed algorithm is verified by the satellite cabin structure experiment.
KW - Kernel feature space
KW - Nonlinear blind source separation
KW - Reference information
UR - https://www.scopus.com/pages/publications/85088320554
U2 - 10.1109/I2MTC43012.2020.9129004
DO - 10.1109/I2MTC43012.2020.9129004
M3 - 会议稿件
AN - SCOPUS:85088320554
T3 - I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings
BT - I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020
Y2 - 25 May 2020 through 29 May 2020
ER -