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

Sort function analysis for order statistic filters in detection systems

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	64-77
Number of pages	14
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1096
DOIs	https://doi.org/10.1117/12.960341
State	Published - 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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title = "Sort function analysis for order statistic filters in detection systems",

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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N2 - 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.

AB - 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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Sort function analysis for order statistic filters in detection systems

Abstract

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