L Yan-xin, LI Hai-tao, DENG Dong, et al. Multi-sensor information fusion denoising method based on EEMD[J]. 2014, 33(10): 5-7+10. DOI: 10.13873/J.1000-9787(2014)10-0005-03.
Application of signals passively acquired by sensor are always restricted because of no much prior information
so an information fusion denoising method for multi-sensor based on ensemble empirical mode decomposition(EEMD) and time delay estimation is proposed.Firstly
signals acquired by multi-sensor are decomposed by EEMD
and obtained corresponding IMF components is cross correlated.Time delays are computed according to time delay vector close rule(TDVCR)
time delay vector error of corresponding IMF component is obtained.Finally
according to comprehensive support degree of multi-sensor to determine correspording weight
IMF components are reconstructed to obtain denoising signals.The experimental results show that this method effectively uses characteristic of multi-sensor time delay estimation based on EEMD
and signal noises under no prior information is reduced
Multi-channel sampling theorems for band-limited signals with fractional Fourier transform [J]. ZHANG Feng, TAO Ran & WANG Yue Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China. Science in China(Series E:Technological Sciences) . 2008(06)