Paper
15 October 2015 Spot detection accuracy analysis in turbulent channel for free space optical communication
Yan-Fei Liu, Yong-Hong Dai, Sheng-Lin Yu, Shan Xin, Jing Chen, Yong Ai
Author Affiliations +
Proceedings Volume 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology; 96742A (2015) https://doi.org/10.1117/12.2200956
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
Increasingly importance has been taken seriously for high frame rate CMOS camera to optical communication acquisition pointing and tacking (APT) system, with its compact structure, easy to developed and adapted to beacon light spot detection in atmospheric channel. As spot position accuracy directly determines the performance of space optical communication, it is very important to design a high precision spot center algorithm. Usually spot location algorithm uses gravity algorithm, shape center capturing algorithm or self-adaption threshold algorithm. In experiments we analyzed the characteristics of the spots which transmitted through atmospheric turbulence and studied light transmission characteristics in turbulent channel. We carried out a beacon light detection experiments in a distance of 3.4km, collected the beacon spots on CMOS camera and signal light power. We calculated spot position with two different algorithm and compared the calculation accuracy between field dispersive spot and ideal Gaussian laser spot. Experiment research show that, gravity center algorithm should be more suitable for beacon beam spot which accuracy can be improved about 1.3 pixels for a Gaussian spot. But the shape center algorithm has higher precision. The reasons were analyzed which made an important preparation for subsequent testing.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan-Fei Liu, Yong-Hong Dai, Sheng-Lin Yu, Shan Xin, Jing Chen, and Yong Ai "Spot detection accuracy analysis in turbulent channel for free space optical communication", Proc. SPIE 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology, 96742A (15 October 2015); https://doi.org/10.1117/12.2200956
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KEYWORDS
Turbulence

Detection and tracking algorithms

Evolutionary algorithms

Optical communications

Atmospheric turbulence

CMOS cameras

CMOS sensors

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