Spatiotemporal multiscan adaptive matched filtering

Kenneth A. Melendez; James W. Modestino

doi:10.1117/12.217713

1 September 1995 Spatiotemporal multiscan adaptive matched filtering

Kenneth A. Melendez, James W. Modestino

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217713
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Kenneth A. Melendez and James W. Modestino "Spatiotemporal multiscan adaptive matched filtering", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217713

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