TY - GEN
T1 - Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS
AU - Yang, Yunxi
AU - Zhang, Lin
AU - Cheng, Wei
AU - Yang, Ning
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - In order to extract single-channel identical weak grating signal which is obliterated by noise during spacecraft ground test, a comprehensive extraction algorithm of the weak grating signal is proposed based on multiscale morphological filter (MMF), improved compete ensemble EMD with adaptive noise (improved CEEMDAN) and based on temporal predictability BSS (TPBSS). Firstly, the MMF is used to improve the signal-to-noise ratio, then the improved CEEMDAN is used to decompose the signals in multi-dimension. Meanwhile, the temporal predictability criterion is introduced to reduce the decomposition dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.
AB - In order to extract single-channel identical weak grating signal which is obliterated by noise during spacecraft ground test, a comprehensive extraction algorithm of the weak grating signal is proposed based on multiscale morphological filter (MMF), improved compete ensemble EMD with adaptive noise (improved CEEMDAN) and based on temporal predictability BSS (TPBSS). Firstly, the MMF is used to improve the signal-to-noise ratio, then the improved CEEMDAN is used to decompose the signals in multi-dimension. Meanwhile, the temporal predictability criterion is introduced to reduce the decomposition dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.
KW - Identical weak grating
KW - Improved CEEMDAN
KW - Multiscale morphological filter
KW - Temporary predictability
UR - https://www.scopus.com/pages/publications/85085195150
U2 - 10.1007/978-981-15-4163-6_7
DO - 10.1007/978-981-15-4163-6_7
M3 - 会议稿件
AN - SCOPUS:85085195150
SN - 9789811541629
T3 - Lecture Notes in Electrical Engineering
SP - 54
EP - 61
BT - Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019
A2 - Wang, Yue
A2 - Xu, Lexi
A2 - Fu, Meixia
A2 - Zou, Jiaqi
PB - Springer
T2 - 6th Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019
Y2 - 13 August 2019 through 16 August 2019
ER -