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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 26, Iss. 22 — Nov. 15, 1987
  • pp: 4755–4760

Adaptive Kalman-Bucy filter for differential absorption lidar time series data

Russell E. Warren  »View Author Affiliations


Applied Optics, Vol. 26, Issue 22, pp. 4755-4760 (1987)
http://dx.doi.org/10.1364/AO.26.004755


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Abstract

An extension of the Kalman-Bucy algorithm for on-line estimation of multimaterial path-integrated concentration from multiwavelength differential absorption lidar time series data is presented in which the system model covariance is adaptively estimated from the input data. Performance of the filter is compared with that of a nonadaptive Kalman-Bucy filter using synthetic and actual lidar data.

© 1987 Optical Society of America

History
Original Manuscript: May 23, 1987
Published: November 15, 1987

Citation
Russell E. Warren, "Adaptive Kalman-Bucy filter for differential absorption lidar time series data," Appl. Opt. 26, 4755-4760 (1987)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-26-22-4755

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