Sort Function Analysis For Order Statistic Filters In Detection Systems

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

doi:10.1117/12.960341

5 September 1989 Sort Function Analysis For Order Statistic Filters In Detection Systems

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

Proceedings Volume 1096, Signal and Data Processing of Small Targets 1989; (1989) https://doi.org/10.1117/12.960341
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

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.

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K. D. Donohue, J. Saniie, D. T. Nagle, and N. M. Bilgutay "Sort Function Analysis For Order Statistic Filters In Detection Systems", Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); https://doi.org/10.1117/12.960341

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