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Proceedings Paper

New non-Doppler remote sensing technique for 3-D wind field mapping
Author(s): Mikhail S. Belen'kii; Gary G. Gimmestad; Alexander V. Gurvich
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Paper Abstract

A new approach to the statistical analysis of fluctuating, photon-limited signals that permits us to accumulate and process the lidar returns without averaging of the reflected energy fluctuations is developed. This approach requires recording the photocounts for each pulse in a series of pulses and then determining photocount statistics. Based on the semiclassical theory of photodetection and Mandel's formula, a relationship has been obtained between the time-space cross correlation function and the cross spectrum of the lidar returns and corresponding photocount statistics. It is shown that the relative uncertainties of measuring the cross correlation or the cross spectrum of the lidar returns is determined by the general number of photocounts, but not by their mean value. A fast-scanning lidar system, which is based on a new photocounting analysis approach, is described for 3D wind field mapping in the atmosphere at altitudes up to 5 km. A program for the experimental verification of the new approach is presented.

Paper Details

Date Published: 29 June 1994
PDF: 7 pages
Proc. SPIE 2222, Atmospheric Propagation and Remote Sensing III, (29 June 1994); doi: 10.1117/12.178034
Show Author Affiliations
Mikhail S. Belen'kii, Georgia Tech Research Institute (United States)
Gary G. Gimmestad, Georgia Tech Research Institute (United States)
Alexander V. Gurvich, Institute of Atmospheric Physics (Russia)


Published in SPIE Proceedings Vol. 2222:
Atmospheric Propagation and Remote Sensing III
Walter A. Flood; Walter B. Miller, Editor(s)

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