Energy measurement studies for CO 2 measurement with a coherent Doppler lidar system
Author(s) -
Jeffrey Y. Beyon,
Grady J. Koch,
Jirong Yu,
Upendra N. Singh,
Michael J. Kavaya,
Randal L. VanValkenburg
Publication year - 2010
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.871966
Subject(s) - lidar , energy (signal processing) , remote sensing , noise (video) , noise measurement , doppler effect , computer science , noise floor , gaussian noise , additive white gaussian noise , white noise , signal to noise ratio (imaging) , physics , telecommunications , artificial intelligence , geography , noise reduction , statistics , mathematics , astronomy , image (mathematics)
The accurate measurement of energy in the application of lidar system for CO2 measurement is critical. Different techniques of energy estimation in the online and offline pulses are investigated for post processing of lidar returns. The cornerstone of the technique is the accurate estimation of the spectrum of lidar signal and background noise. Since the background noise is not the ideal white Gaussian noise, simple average level estimation of noise level is not well fit in the energy estimation of lidar signal and noise. A brief review of the methods is presented in this paper.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom