An evaluation of selected estimation methods for the processing of differential absorption lidar data

Layfield, Andrew

Applied physics
March 1987

Thesis or dissertation


Rights
© 1987 Andrew Layfield. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.
Abstract

This work examines the application of selected estimation methods to path integrated direct detection CO₂ lidar data, with the objective of improving the precision in the estimates of the log power, and log power ratios. Particular emphasis is given to the optimal estimation techniques of Kalman filtering theory, and to the consequent requirements for system and measurement model identification. A dual wavelength system was designed and constructed, employing two hybridised TEA lasers, a co-axial transceiver, and direct detection.

Over a period of several months, a database of differential absorption measurements was accumulated, each consisting of 10,000 dual wavelength
lidar returns. Various wavelength pairs were used, including those recommended for the monitoring of H₂O, CO₂, NH₃ and C₂H₄. A subset of this database is used to evaluate the above mentioned estimation methods. The results are compared with simulated data files in which it was possible to control precisely process models which are believed to form an approximation to the real processes latent in the actual lidar data.

Publisher
Department of Applied Physics, The University of Hull
Ethos identifier
uk.bl.ethos.234001
Qualification level
Doctoral
Qualification name
PhD
Language
English
Extent
11 MB
Identifier
hull:16436
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