Spatiotemporal multiscan adaptive matched filtering

Kenneth A. Melendez, James W. Modestino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations


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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Number of pages15
StatePublished - Dec 1 1995
EventSignal and Data Processing of Small Targets 1995 - San Diego, CA, USA
Duration: Jul 11 1995Jul 13 1995


OtherSignal and Data Processing of Small Targets 1995
CitySan Diego, CA, USA


ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Melendez, K. A., & Modestino, J. W. (1995). Spatiotemporal multiscan adaptive matched filtering. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2561, pp. 51-65)