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Proceedings Paper

Noise suppression with distributed sensing concept FPA DISCO architecture
Author(s): Michael K. Rafailov
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Paper Abstract

Low frequency noise, multiplicative noise and background are distinctive features of modern IR FPA. Background subtraction, frame averaging and adaptive thresholding are conventionally used to improve IR sensor performance by adaptively separating valid exceedances from the background and noise. However, the technique may not fully address the problem - neither for fast nor for slow changes in the background and noise. Probability of target detection as well as efficiency of digital video-signal processing can be dramatically increased by effective noise and signal management. Recursive Adaptive Frame Integration of Limited data (RAFIL) was proposed to reduce data rate while maintaining low False Alarm Rate. Distributed Sensor concept - DISCO was proposed for the SNR and target acquisition range increase through cooperative target engagement. In this paper a combination of those two techniques is discussed with the intention to minimize low frequency noise, the background and multiplicative effects in FPA based IR and optical sensing.

Paper Details

Date Published: 19 September 2007
PDF: 8 pages
Proc. SPIE 6660, Infrared Systems and Photoelectronic Technology II, 66600Q (19 September 2007); doi: 10.1117/12.731520
Show Author Affiliations
Michael K. Rafailov, RICHER Inc. (United States)
PSI QinetiQ N.A. Co. (United States)

Published in SPIE Proceedings Vol. 6660:
Infrared Systems and Photoelectronic Technology II
Eustace L. Dereniak; Randolph E. Longshore; John P. Hartke; Ashok K. Sood, Editor(s)

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