Sort function analysis for order statistic filters in detection systems

K. D. Donohue, J. Saniie, D. T. Nagle, N. M. Bilgutay

Research output: Contribution to journalArticlepeer-review


The order statistic (OS) filter is a digital processor, whose performance is equivalent to the binary integrator used in radar signal processing. This paper presents the sort function analysis for the application of OS filter that aid in the application and optimization of the filter. It is shown that the OS filter can detect target signals in the presence of clutter for low signal-to-ratios (SCR), provided there exists a quantile regions where there is a significant difference in the statistical distributions of the target and clutter. Furthermore, the analysis indicates that for low SCR the OS filter has a superior performance over that of the n-pulse integrator when a significant difference exists between the clutter and target distributions for only a limited number of quantile regions. Examples of these detection properties are illustrated with results from a computer simulation.

Original languageEnglish
Pages (from-to)64-77
Number of pages14
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Sep 5 1989

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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