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Proceedings Paper

Low-frequency noise characteristics of extended wavelength InGaAs infrared detector
Author(s): Tao Li; Kafeng Zhang; Yongfu Li; Hengjing Tang; Xue Li; Haimei Gong
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Paper Abstract

In order to investigate the low frequency noise characteristics of extended wavelength (1.0-2.4 μm) InGaAs infrared detector, we fabricated a number of In0.78Ga0.22As mesa photodiodes with various areas and tested the low frequency noise of these detectors. The results indicate that the noise spectra in low frequency region are proportional to f - γ where γ is around 0.9 for all of the diodes. The investigation on relationship between low frequency noise and bias voltage shows that the dependence of low frequency noise on reverse bias is based on the dependence of dark current. Then the dependence of low frequency noise on dark current in these reverse-biased diodes was examined, the noise and dark current of several diodes were measured at same voltage. The results of the noise power spectral density at f = 1 Hz indicate that noise varies proportionally with the dark current. The relationship between mesa geometry and noise magnitude was also investigated. Low frequency noise of diodes with different mesa areas was compared and the noise exhibits a linear dependence on the mesa areas.

Paper Details

Date Published: 5 August 2009
PDF: 6 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73833Z (5 August 2009); doi: 10.1117/12.835983
Show Author Affiliations
Tao Li, Shanghai Institute of Technical Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Kafeng Zhang, Shanghai Institute of Technical Physics (China)
Yongfu Li, Shanghai Institute of Technical Physics (China)
Hengjing Tang, Shanghai Institute of Technical Physics (China)
Xue Li, Shanghai Institute of Technical Physics (China)
Haimei Gong, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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