Parametric Decomposition of Pulsed Lidar Signals with Noise Corruption Using FRFT Spectrum Analysis

Parametric Decomposition of Pulsed Lidar Signals with Noise Corruption Using FRFT Spectrum Analysis

The parametric decomposition of full-waveform Lidar data is challenging when faced with heavy noise scenarios. In this paper, we report a fractional Fourier transform (FRFT)-based approach for accurate parametric decomposition of pulsed Lidar signals with noise corruption. In comparison with other j...

Full description

Bibliographic Details
Main Authors: Fan Xu, Jun Chen, Ya Liu, Qihui Wu, Xiaofei Zhang, Zhengyang Shu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
parametric decomposition
pulsed Lidar signals
noise corruption
joint time-frequency-analysis
FRFT spectrum processing
Online Access:https://www.mdpi.com/2072-4292/13/16/3296

Internet

https://www.mdpi.com/2072-4292/13/16/3296

Similar Items