Performance Analysis of a Hartman Wavefront Sensor Used for Sensing Atmospheric Turbulence Statistics 9781423573487

Performance Analysis of a Hartman Wavefront Sensor Used for Sensing Atmospheric Turbulence Statistics

ISBN-10: 142357348X
ISBN-13: 9781423573487
AUTHOR:
PUBLISHER: Storming Media
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Note: Not guaranteed to come with supplemental materials (access codes, CDs, DVDs)
Product Description: Atmospheric turbulence parameters, such as Fried's coherence diameter, the outer scale of turbulence, and the turbulence power law, are related to the wavefront slope structure function (SSF). The SSF is defined as the second moment of the wavefront slope difference as a function of both time and position. Knowledge of the SSF allows turbulence parameters to be estimated. Hartmann wavefront sensor (H-WFS) slope measurements composed of both signal and noise, allow the SSF to be estimated by computing a mean square difference of H- WFS slope measurements. The quality of the SSF estimate is quantified by the signal-to-noise ratio (SNR) of the estimator. This thesis develops a theoretical SNR expression for the SSF estimator. This SNR is a function of H-WFS geometry, the number of temporal frames included in the estimate, the outer scale, power law, and temporal properties of the turbulence. Spatial slope correlations are incorporated. Temporal slope correlations are incorporated using Taylor's frozen flow hypothesis. Results are presented for various H-WFS configurations and atmospheric turbulence properties.

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PUBLICATION DATE:
PAGES: 231
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