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Proceedings Paper

Modeling of heavily tailed aliasing distribution for undersampled IRST systems
Author(s): Robert A. Makl; Hector A. Quevedo
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Paper Abstract

Common module and staring focal plane arrays used in IR search and track applications exhibit inherent under sampling in either one or both spatial dimensions producing signal and clutter aliasing is modeled as a stochastic noise process with a uniformly distributed sample phasing. This paper transcends previous attempts at modeling aliasing by deriving the joint density function of the matched filtered SNR normalized by the density function of the local nose estimate. The resulting probability of detection distribution has been compared with experimental results through simulation. Finally, the use of this probability density function is discussed to further enhance the performance of a multiple hypothesis tracker.

Paper Details

Date Published: 31 May 1996
PDF: 11 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241174
Show Author Affiliations
Robert A. Makl, Hughes Aircraft Co. (United States)
Hector A. Quevedo, Hughes Aircraft Co. (United States)

Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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