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Proceedings Paper

Kalman Filtering In Lidar
Author(s): Barry J. Rye
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Paper Abstract

A processing strategy for lidar signals based on established concepts of Kalman filtering is described. Features of relevance to lidar include use of stochastic and non-stationary system models, the need for non-linear and multi-dimensional models in many applications, and the ability to 'self-tune' the filter in response to data input in the absence of a vriori information.

Paper Details

Date Published: 12 December 1989
PDF: 8 pages
Proc. SPIE 1181, 5th Conf on Coherent Laser Radar: Technology and Applications, (12 December 1989); doi: 10.1117/12.963771
Show Author Affiliations
Barry J. Rye, University of Colorado/NOAA (United States)

Published in SPIE Proceedings Vol. 1181:
5th Conf on Coherent Laser Radar: Technology and Applications
James W. Bilbro; Christian Werner, Editor(s)

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