A method to enhance SNR based on CEEMDAN and the interval thresholding in Φ_OTDR systems

He, Meng; F, Liu; Zhao, Dongdong

doi:10.1007/s00340-020-07448-x

Cited by 15 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The underwater LIDAR echo signal is discrete due to factors such as the sampling rate in the acquisition system. Multi-layer wavelet time-domain decomposition method is a discretization [28][29][30] processing method of wavelet transform. When this method is used to process underwater LIDAR echo signals, the spectrum of the original signal is decomposed hierarchically to improve its frequency resolution and achieve the separation of target and scattering.…”

mentioning

confidence: 99%

Scattering Suppression in Underwater LIDAR Signal Processing Based on Wavelet-ICA Method

Liu,

Yang,

Gao

et al. 2024

IEEE Photon. Technol. Lett.

View full text Add to dashboard Cite

A new underwater lidar signal-processing method based on wavelet transform (WT) and independent component analysis (ICA) is presented in this paper. The proposed method combines WT and ICA to overcome that the number of observations required for ICA must be equal to or greater than the number of sources to be separated. In the new method, the observation matrix of ICA is constructed from multi-layer wavelet time-domain decomposition in a single measurement. The Wavelet-ICA method avoids the uncertainties in multiple measurements caused by the change of measurement conditions and reduces the error of ICA algorithm. In addition, the new method greatly improves the frequency resolution of the echo signal by introducing wavelet transform. It can remove both the noises caused by lowfrequency scattering and high-frequency electromagnetic clutters. The new approach was tested in an underwater lidar system. The pulse light source operates at a repetition rate of 50 kHz, with an average output power of 3 W and a pulse duration of less than 1 ns. An APD detector and the acquisition system with a bandwidth of 1 GHz is used to receive the echo signals. We used a piece of black rubber as the target. Underwater target ranging experiments were conducted when the attenuation length(AL) was 10. The ranging accuracies were compared: without any scattering suppression algorithm, the ranging accuracy was 12 cm; with only WT, the accuracy was 4 cm; using the Wavelet-ICA method, the ranging accuracy was improved to 2 cm. The signal processing method can suppress strong scattering clutter in turbid water, thus greatly improving the ranging accuracy.

show abstract

mentioning

confidence: 99%