Abstract
Although the empirical mode decomposition (EMD) method is an effective tool
for noise reduction in lidar signals, evaluating the effectiveness of the denoising
method is difficult. A dual-field-of-view lidar for observing atmospheric aerosols
is described. The backscattering signals obtained from two channels have different
signal-to-noise ratios (SNRs). The performance of noise reduction can be
investigated by comparing the high SNR signal and the denoised low SNR signal
without a simulation experiment. With this approach, the signal and noise are
extracted to one intrinsic mode function (IMF) by the EMD-based denoising; thus, the
threshold method is applied to the IMFs. Experimental results show that the improved
threshold method can effectively perform noise reduction while preserving useful
sudden-change information.
© 2011 Chinese Optics Letters
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription