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Proceedings Paper

The Application Of Order Statistic Filters In Detection Systems
Author(s): Jafar Saniie; Kevin D Donohue; Nihat M Bilgutay
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Paper Abstract

In this paper the performance of a digital processor, referred to as the order statistic (OS) filter, is analyzed as a noncoherent processor in a detection system. The statistical description of the output of the OS filter is presented in terms of the filter parameters and the statistics of the input. The mathematical form of this description, for the case of independent and identically distributed inputs, is used to develop general input output relations of the filter. These relationships are used to indicate the critical factors that affect the performance of the OS filter, and a quantitative expression is presented to determine the rank of the OS filter necessary for optimal detection performance. It is shown that the OS filter with extreme ranks (minimum and maximum detectors) performs well in situations where a significant skewness difference exists between the different classes of input signals. As the skewness difference between the classes decreases, the performance of the OS filter with extreme ranks degrades, while the performance of the OS filter for intermediate ranks is robust over this change.

Paper Details

Date Published: 9 August 1988
PDF: 7 pages
Proc. SPIE 0931, Sensor Fusion, (9 August 1988); doi: 10.1117/12.946665
Show Author Affiliations
Jafar Saniie, Illinois Institute of Technology (United States)
Kevin D Donohue, Illinois Institute of Technology (United States)
Nihat M Bilgutay, Drexel University (United States)


Published in SPIE Proceedings Vol. 0931:
Sensor Fusion
Charles B. Weaver, Editor(s)

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