NDLI: Scaling of High-Performance InAs/AlSb/GaSb Heterostructure Detectors for Millimeter-Wave and Submillimeter-Wave Sensing and Imaging

Content Provider	IEEE Xplore Digital Library
Author	Ning Su Zhang, Z. Rajavel, R. Deelman, P. Schulman, J.N. Fay, P.
Copyright Year	2008
Description	Author affiliation: Aerosp. Corp., El Segundo, CA (Schulman, J.N.) \|\| IBM Semicond. Res. & Dev., Hopewell Junction, NY (Ning Su) \|\| HRL Labs. LLC, Malibu, CA (Rajavel, R.; Deelman, P.) \|\| Dept. of Electr. Eng., Univ. of Notre Dame, Hopewell Junction, NY (Zhang, Z.; Fay, P.)
Abstract	The state of the art in millimeter-wave detection and imaging using Sb-heterostructure detectors has been advanced recently with demonstration of excellent low-noise performance through the use of very thin (< 15 Aring) tunnel barriers. This reduction in tunnel barrier thickness improves the noise by reducing the thermal noise associated with the junction resistance, $R_{j}.$ However, the thinner barrier also increases the junction capacitance, $C_{j},$ and the decreased $R_{j}$ and increased $C_{j}$ degrade the detector's sensitivity, $beta_{v},$ and frequency response. In this work, the combined effects of scaling the tunnel barrier thickness and device area have been studied experimentally and modeled, allowing optimization of the device performance for both low noise and high cut-off frequency for millimeter-wave and sub-millimeter-wave sensing and imaging.
Starting Page	123
Ending Page	124
File Size	1635200
Page Count	2
File Format	PDF
ISBN	9781424419425
ISSN	15483770
DOI	10.1109/DRC.2008.4800765
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Acoustical engineering Area measurement Electrical resistance measurement Semiconductor device noise Noise reduction Thermal resistance Capacitance Frequency response Cutoff frequency
Content Type	Text
Resource Type	Article

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