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Proceedings Paper

Adaptive 4-D IR clutter suppression filtering technique
Author(s): Tom Aridgides; Manuel F. Fernandez; D. Randolph; David D. Ferris
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Paper Abstract

Conventional infrared (IR) surveillance systems employ clutter rejection filtering techniques operating in a single processing domain (e.g., spatial for scanned arrays, or temporal for staring arrays), providing a poor performance in weak-target scenarios. The adaptive filtering technique proposed here utilizes the information contained in the spatial, temporal, and spectral dimensions to simultaneously implement the functions of frame registration and clutter suppression. In this approach, the background clutter covariance is estimated from data samples obtained via a 4D sliding window. Then, from a priori knowledge of the target-clutter crosscorrelation function, a filter is designed to minimize the clutter variance while preserving the target. Simulation results of the 4D adaptive filtering procedure, using real IR scanned- array sensor data, amply demonstrate the superiority of this algorithm over commonly employed sequential approaches.

Paper Details

Date Published: 1 August 1991
PDF: 7 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45647
Show Author Affiliations
Tom Aridgides, General Electric Co. (United States)
Manuel F. Fernandez, General Electric Co. (United States)
D. Randolph, General Electric Co. (United States)
David D. Ferris, Rome Lab. (United States)


Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

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