Download Adaptive Beaming and Imaging in the Turbulent Atmosphere by Vladimir P. Lukin, Boris V. Fortes PDF

By Vladimir P. Lukin, Boris V. Fortes

A result of large program of adaptive optical structures, an knowing of optical wave propagation in randomly inhomogeneous media has turn into crucial, and a number of other numerical types of person AOS elements and of effective correction algorithms were constructed. This monograph comprises distinct descriptions of the mathematical experiments that have been designed and conducted in the course of greater than a decade's worthy of research.

Contents

- Preface to the English version

- advent

- Mathematical Simulation of Laser Beam Propagation within the surroundings

- Modeling an Adaptive Optics process

- Adaptive Imaging

- Minimization and part Correction of Thermal Blooming of High-Power Beams

- A Reference Beacon as a Key section of an Adaptive Optics procedure

- end

- Index

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Additional info for Adaptive Beaming and Imaging in the Turbulent Atmosphere (SPIE Press Monograph Vol. PM109)

Example text

R. Buckley, “Diffraction by a random phase-changing screen: A numerical experiment,” J. Atm. 12, pp. 1431–1446, 1975. A. R. D. Feit, “Time-dependent propagation of a highenergy laser beam through the atmosphere,” Appl. , 10, No. 1, pp. 129–139, 1976. P. I. Z Ser. , 24, No. 4, pp. 434–442, 1981. A. Konyaev, “Modification of the splitting method for numerical solution of quasi-optical problems,” in Abstracts of Reports at the VI Conference on Laser Beam Propagation in the Atmosphere, pp. 195–198, 1981.

195–198, 1981. M. M. Flatte, “Intensity images and statistics from numerical simulation of wave propagation in 3-D random media,” Appl. 11, pp. 2111–2126, 1988. V. Bykov, Numerical Simulation in Statistical Radiotechnics, Sov. Radio, Moscow, 1971. Mathematical Simulation of Laser Beam Propagation in the Atmosphere 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. A. D. Duncan, “Simulation atmospherically degraded beams. II. Polynomial approach,” J. Opt. Soc. 1218, 1975.

31) After calculation of the inner sum in Eq. 32) where the property SˆLx, M  Sx*L , M . This allows us to calculate the inner sum for only non-negative values of M and thus obtain a twofold decrease in the number of mathematical operations. Thus, the modification developed for the spectral sample method is the following sequence of operations: 1. Determine the first half of the rows of the 2D array of Fourier coefficients according to Eq. , N / 2. 2. , N / 2 . 34) 3. , 1 . 35) 4. , N  1 .

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