Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS

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.