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Proceedings Paper

Spatiotemporal multiscan adaptive matched filtering
Author(s): Kenneth A. Melendez; James W. Modestino
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Paper Abstract

Detecting the presence of small weak targets in nonstationary clutter backgrounds is a fundamental problem in representative IR surveillance and tracking systems. In this paper, a system is proposed using spatiotemporal adaptive matched filtering to suppress the effects of clutter and enhance target detection. Shortfalls in conventional adaptive systems lead to a multiple parallel scanning approach to eliminate transients resulting from suboptimal filtering at clutter edges. Simulation results are provided which demonstrate that this approach provides substantially superior performance to a non-adaptive matched filter detection system design using global clutter statistics and, in some cases, can even achieve performance approximating that of an ideal fully-adaptive detector design from the complete statistical knowledge of the nonstationary clutter.

Paper Details

Date Published: 1 September 1995
PDF: 15 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217713
Show Author Affiliations
Kenneth A. Melendez, Rensselaer Polytechnic Institute (United States)
James W. Modestino, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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