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Enhancement of Radar Decision Criteria Based on Fuzzy Test of Hypotheses


Article Information

Title: Enhancement of Radar Decision Criteria Based on Fuzzy Test of Hypotheses

Authors: Ahmed K. Elsherif, Chunming Tang, Lei Zhang

Journal: Information Technology Journal

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Publisher: Asian Network for Scientific Information (ANSInet)

Country: Pakistan

Year: 2014

Volume: 13

Issue: 10

Language: English

DOI: 10.10.3923/itj.2014.1694.1701

Keywords: fuzzy test statisticFuzzy hypothesisradar decision enhancement

Categories

Abstract

A new algorithm for radar decision by Neyman-pearson criteria based on fuzzy test of hypothesis has been introduced. First, classical (crisp) hypotheses testing in radar decision system is presented. Then, three important tests of crisp hypotheses for radar decision system have been presented to show how the crisp hypotheses for small changes in signal values can make the decision to be changed; this change is too severe because the decision changed. Third, the steps for the new algorithm are presented. The same three examples are again solved but from fuzzy point of view, which give more scientific results. Finally, a comparison between crisp and fuzzy hypotheses is presented to illustrate the advantages of fuzzy hypotheses in radar decision systems.


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