Robust target detection using order statistic filters

J. Saniie, D. T. Nagle, K. D. Donohue

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


A theoretical analysis of order statistic processors for improved target detection is presented. The sort function is used to provide insight into the optimal rank for detection of various targets and clutter environments where observations are independent and and identically distributed. When observations do not contain identical statistical information the analysis becomes more complex. Both simulation and experimental results are used to illustrate the extent of robustness that can be obtained from a particular rank in the presence of observations containing significant target information (i.e. null observations).

Original languageEnglish
Number of pages4
StatePublished - 1990
EventProceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2) - Champaign, IL, USA
Duration: Aug 14 1989Aug 16 1989


ConferenceProceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2)
CityChampaign, IL, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


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