Paper
2 February 2006 Optical transfer function of photovoltaic detector with different structures and sizes
Author Affiliations +
Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 60310M (2006) https://doi.org/10.1117/12.667943
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
Abstract
Since the Loophole Photovoltaic Detector was designed by some researchers, some studies of the theoretic analysis of this new configuration of detectors have been made. In this paper, deduction and analysis of the Optical Transfer Function(OTF) are discussed concerning the following three kinds of detectors, the Rectangular Photovoltaic Unit Detector, the Cylindrical Photovoltaic Unit Detector and the Loophole Photovoltaic Unit Detector. The OTFs are deduced on the basis of opto-electrical imaging theory. The Fourier Transform and some other mathematical methods are used herein. According to the comparison among these three different detectors' OTF expressions, a conclusion is shown that the loophole photovoltaic unit detector has an advantage in spatial imaging characteristics. The loophole photovoltaic unit detector has much higher spatial resolution than the rectangular photovoltaic unit detector. By a mass of computations, another conclusion is shown that the spatial opto-electrical imaging characteristics of Loophole Photovoltaic Unit Detectors are influenced by its geometrical size. The higher spatial resolution is gained in those Loophole Photovoltaic Unit Detectors with smaller size.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Ning, Tingzhu Bai, and Weiqi Jin "Optical transfer function of photovoltaic detector with different structures and sizes", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310M (2 February 2006); https://doi.org/10.1117/12.667943
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KEYWORDS
Optical transfer functions

Sensors

Photovoltaic detectors

Photovoltaics

Spatial resolution

Spatial frequencies

Fourier transforms

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