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Proceedings Paper

Improved neural network algorithm: application in the compensation of wavefront distortion
Author(s): Zhou Zhou; Xiuhua Yuan; Jin Wang
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Paper Abstract

A Free Space Optical Communication (FSO) system transmits modulated light through atmospheric media. Because of the uneven distribution of refractive index result from atmospheric turbulence, the phase distribution of light is changed leading to distortion of wavefront and requiring reconstruction at the receiver. However, current wavefront compensation relies on channel modeling which has difficulties in extracting channel information from highly random turbulent atmosphere. In this paper, a wavefront reconstruction system based on neural network algorithm is constructed. The neural network requires little channel information but predicts distortion by past experience. Then, distorted phase distribution is adaptively revised when light passes through a piezoelectric ceramic deformable mirror controlled by neural network. Dynamic study factors are added to neural network algorithm as improvement which adjusts the study speed of the system according to turbulence intensity providing best result between respond time and reconstruction accuracy. In addition, light transmitted in atmospheric channel is studied.

Paper Details

Date Published: 19 February 2009
PDF: 11 pages
Proc. SPIE 7279, Photonics and Optoelectronics Meetings (POEM) 2008: Optoelectronic Devices and Integration, 72791F (19 February 2009); doi: 10.1117/12.823255
Show Author Affiliations
Zhou Zhou, Huazhong Univ. of Science and Technology (China)
Xiuhua Yuan, Huazhong Univ. of Science and Technology (China)
Jin Wang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7279:
Photonics and Optoelectronics Meetings (POEM) 2008: Optoelectronic Devices and Integration
Liming Zhang; Michael J. O'Mahony, Editor(s)

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