Athermal Optical Design of Refractive/Diffractive Staring Infrared Earth Sensor System

Ying, 刘英 Liu; Jianzhuo, 刘建卓 Liu; Chun, 李淳 Li; Jian, 王健 Wang; Qiang, 孙强 Sun

doi:10.3788/aos201333.0722001

Cited by 2 publications

(1 citation statement)

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“…The second category is mechanical passive compensation. And the third category is optical passive compensation [1][2][3][4] .In this paper, optical passive compensation is adopted. Thus, processing costs could be reduced, assembling and adjusting become easy.…”

Section: Introductionmentioning

confidence: 99%

Design of Athermalized Infrared Telephoto Lens

Zhang

Shang

et al. 2013

KEM

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IR optical system is much more appropriate to be applied in cluttered and formidable conditions. The change of temperature could degrade image quality of the infrared optical system. So the athermalization becomes the difficult part and key factor in the designing of MWIR optical systems for working under temperature range of -40°C~60°C. In this paper, the infrared telephoto lens is designed; it meets the designing requirements and has good image quality. The effective focal length is 240mm and the F-number is 2.The full field of view is 3.2°. In order to balance the chromatic aberration, an aspherical surface is used in the athermalized infrared optical system. Through carefully selected optical material and reasonable optical power distribution, passive optical athermalization can be realized. The curve of MTF is close to diffraction limit. Within the working temperature, the value of MTF at 30cy/mm is always large than 0.6. The results show that the modulation transfer function (MTF) of optical system in all field of view approaches the diffraction limit at different temperature, and 80% energy concentrates in 1 pixel.

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Section: Introductionmentioning

confidence: 99%

Design of Athermalized Infrared Telephoto Lens

Zhang

Shang

et al. 2013

KEM

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Chaotic characteristics analysis and prediction for short-term wind speed time series

Tian¹,

Li²,

Wang³

et al. 2015

Acta Phys. Sin.

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A short-term wind speed time series prediction is studied. First, 0-1 test method for chaos is used to identify the short-term wind speed time series that has chaotic characteristics. Through phase space reconstruction, the delay time is determined by using C-C algorithm; and the embedding dimension is determined by using G-P algorithm. Then a least square support vector machine with parameters online modified is proposed, so that an improved particle swarm optimization algorithm may be used for the prediction of parameters optimization. Simulation experiment shows that the present method for its prediction accuracy, prediction error, and prediction effect is better than other prediction methods. Thus the proposed prediction method is effective, and feasible.

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Athermal Optical Design of Refractive/Diffractive Staring Infrared Earth Sensor System

Cited by 2 publications

References 0 publications

Design of Athermalized Infrared Telephoto Lens

Design of Athermalized Infrared Telephoto Lens

Chaotic characteristics analysis and prediction for short-term wind speed time series

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