Paper
29 June 1994 New non-Doppler remote sensing technique for 3D wind field mapping
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mikhail S. Belen'kii, Gary G. Gimmestad, and Alexander V. Gurvich "New non-Doppler remote sensing technique for 3D wind field mapping", Proc. SPIE 2222, Atmospheric Propagation and Remote Sensing III, (29 June 1994); https://doi.org/10.1117/12.178034
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KEYWORDS
LIDAR

Remote sensing

Three dimensional sensing

Signal processing

Statistical analysis

Correlation function

Photodetectors

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