Adaptive filter applications to LIDAR: return power and log power estimation

Author

Lainiotis, Demetrios G. ; Papaparaskeva, Paraskevas ; Kothapalli, Giri ; Plataniotis, Kostas

Author_Institution

Intelligent Syst. Technol., Melbourne Beach, FL, USA

Volume

34

Issue

4

fYear

1996

fDate

7/1/1996 12:00:00 AM

Firstpage

886

Lastpage

891

Abstract

The problem of estimating the return power in a LIDAR system in the presence of multiplicative noise (speckle) is addressed. A significant class of the partitioning approach is applied and comparisons are made with the extended Kalman filter (EKF) in the case where model parameter uncertainty exists. Through extensive simulations, the partitioned filter is shown to be significantly superior to the EKF algorithm

Keywords

adaptive signal processing; atmospheric techniques; geophysical signal processing; oceanographic techniques; optical information processing; optical radar; remote sensing by laser beam; adaptive filter applications; adaptive signal processing; atmosphere; laser beam remote sensing; lidar; log power estimation; measurement technique; meteorology; multiplicative noise; ocean; partitioned filter; partitioning approach; return power; sea; speckle; Adaptive filters; Additive noise; Equations; Gaussian noise; Laser radar; Noise measurement; Partitioning algorithms; Power measurement; Power system modeling; Speckle;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.508405

Filename

508405