Finding model parameters for the system waveform of a full-wave lidar: a pragmatic solution
Authors:
- 10 October 2018
- conference paper
- Published by SPIE-Intl Soc Optical Eng
- Vol. 10784, 44
Abstract
The system waveform (SWFM) of a pulsed LiDAR is obtained from the pulse shape received when pointing the sensor towards a flat, extended target with the surface normal equal to the laser beam direction. The SWFM is determined by the shape of the outgoing laser pulse and the transfer characteristics of the receiver. Knowing the SWFM is essential for performing highly accurate range measurements, for interpreting the LiDAR waveforms correctly, and to derive additional attributes for detected target returns. Often the actual SWFM is not known explicitly, and a Gaussian pulse shape is used in lieu thereof. However, the Gaussian pulse, despite its advantageous properties, does not properly address asymmetries and ringing effects typically present in real-life SWFMs. We present a model of the SWFM composed of harmonic and exponential terms which is able to account for these effects while at the same time being mathematically easy to handle. Unfortunately, the approximation of data by a sum of harmonics and exponentials belongs to the class of ill-posed problems. Nevertheless, we present a pragmatic solution to the problem and demonstrate the versatility of the resulting model.Keywords
This publication has 4 references indexed in Scilit:
- Exponential Decomposition with Implicit Deconvolution of Lidar Backscatter from the Water ColumnPFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2017
- A Comparison of Signal Deconvolution Algorithms Based on Small-Footprint LiDAR Waveform SimulationIEEE Transactions on Geoscience and Remote Sensing, 2011
- Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scannerISPRS Journal of Photogrammetry and Remote Sensing, 2006
- Estimating parameters in the damped exponential modelSignal Processing, 2001