2026-09-20T01:59:04Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/465022022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Andrew M. Siegel and James K. Roberge.
Steininger-Holmes, Jason Thomas
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-08-26T16:37:27Z
2009-08-26T16:37:27Z
2008
2008
http://hdl.handle.net/1721.1/46502
402680126
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 71-72).
The test vehicle detector characterization system provides a convenient and efficient tool for rapidly evaluating the optical sensitivity of the GAP6012, GAP100, GAP300, and GAP1000 indium gallium arsenide detectors used on the vendor produced detector strips, which are used in the MARTI program at MIT Lincoln Laboratory. This characterization system exploits the approximately linear relationship between the radiant intensity of the gallium arsenide light emitting diodes (LEDs) and the forward current through the LEDs to correlate the expected irradiance with the observed detector counts. Illumination tests of different intensities are performed to characterize each detector's performance over its entire operating spectrum. Each test is performed multiple times to determine the statistical variance of each detector. A detector which exhibits a high statistical variance will not pass the qualifying stage. The results of these tests and others are saved and indexed by strip serial number; allowing for future reference if the need should arise. The system was developed in a modular fashion so as to be compatible with both the high power (HP) and low power (LP) detector strips with only minor hardware and firmware updates.
by Jason Thomas Steininger-Holmes.
M.Eng.
72 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Test vehicle detector characterization system for the Boeing YAL-1 airborne laser
Thesis
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<Abstract>The test vehicle detector characterization system provides a convenient and efficient tool for rapidly evaluating the optical sensitivity of the GAP6012, GAP100, GAP300, and GAP1000 indium gallium arsenide detectors used on the vendor produced detector strips, which are used in the MARTI program at MIT Lincoln Laboratory. This characterization system exploits the approximately linear relationship between the radiant intensity of the gallium arsenide light emitting diodes (LEDs) and the forward current through the LEDs to correlate the expected irradiance with the observed detector counts. Illumination tests of different intensities are performed to characterize each detector's performance over its entire operating spectrum. Each test is performed multiple times to determine the statistical variance of each detector. A detector which exhibits a high statistical variance will not pass the qualifying stage. The results of these tests and others are saved and indexed by strip serial number; allowing for future reference if the need should arise. The system was developed in a modular fashion so as to be compatible with both the high power (HP) and low power (LP) detector strips with only minor hardware and firmware updates.</Abstract>
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