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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 35, Iss. 33 — Nov. 20, 1996
  • pp: 6466–6478

Joint estimation and identification of lidar log power returns in a switching environment

D. G. Lainiotis and Paraskevas Papaparaskeva  »View Author Affiliations


Applied Optics, Vol. 35, Issue 33, pp. 6466-6478 (1996)
http://dx.doi.org/10.1364/AO.35.006466


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Abstract

The problem of estimating the return power in a laser integrated radar (lidar) system in the presence of multiplicative noise and partially unmodeled dynamics is explored. Several nonlinear methodologies are reviewed and compared to develop a systematic approach to signal model identification and estimation. The situations considered operate in mode-switching environments, that is, the desired unknown parameters are allowed to vary according to sudden jumps exhibiting discontinuous behavior at random times. Partitioning-based, parallel-structured techniques are shown to be significantly superior to the usual extended Kalman filter algorithm.

© 1996 Optical Society of America

History
Original Manuscript: June 15, 1995
Revised Manuscript: May 8, 1996
Published: November 20, 1996

Citation
D. G. Lainiotis and Paraskevas Papaparaskeva, "Joint estimation and identification of lidar log power returns in a switching environment," Appl. Opt. 35, 6466-6478 (1996)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-35-33-6466

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