31 May 1996 Modeling of heavily tailed aliasing distribution for undersampled IRST systems
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert A. Makl and Hector A. Quevedo "Modeling of heavily tailed aliasing distribution for undersampled IRST systems", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241174; https://doi.org/10.1117/12.241174
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