A CFAR Detector in a Nonhomogenous Weibull Clutter
We propose a method that improves the constant false alarm rate (CFAR) detection of targets in a nonhomogenous clutter environment. We assume that the clutter data from neighboring cells may have an edge with unknown location dividing data samples into two parts with different independent and identi...
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Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 2012-04, Vol.48 (2), p.1747-1758 |
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creator | Pourmottaghi, A. Taban, M. R. Gazor, S. |
description | We propose a method that improves the constant false alarm rate (CFAR) detection of targets in a nonhomogenous clutter environment. We assume that the clutter data from neighboring cells may have an edge with unknown location dividing data samples into two parts with different independent and identically distributed (IID) Weibull distributions. We propose automatic clutter edge localization which allows us to eliminate the outlier/misleading data, and thereby improves the CFAR detection performance. We also suggest a CFAR detector (CFARD) which uses this estimator. |
doi_str_mv | 10.1109/TAES.2012.6178094 |
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We also suggest a CFAR detector (CFARD) which uses this estimator.</description><subject>Aircraft components</subject><subject>Clutter</subject><subject>Detectors</subject><subject>Electronic systems</subject><subject>Estimators</subject><subject>Image edge detection</subject><subject>Localization</subject><subject>Maximum likelihood estimation</subject><subject>Object detection</subject><subject>Position (location)</subject><subject>Radar</subject><subject>Weibull distribution</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkDFPwzAQhS0EEqXwAxBLxMSS4nMcxx6r0AJSBRIUMVpOcoFUaVzsZODf46iFgel0uu89vXuEXAKdAVB1u54vXmeMApsJyCRV_IhMIE2zWAmaHJMJpSBjxVI4JWfeb8LKJU8mhM2jfDl_ie6wx7K3Lmq6yERPtvu0W_uBnR189I5NMbRtlLdD36M7Jye1aT1eHOaUvC0X6_whXj3fP-bzVVwmCvoYDcsKzlFWJknDoIwicKhKzpgoQCgjhKwrHuKXxgAXgtGqqqmBwmRpUSdTcrP33Tn7NaDv9bbxJbat6TDE0kAZk1KBhIBe_0M3dnBdSKeVSqgc3w0Q7KHSWe8d1nrnmq1x38FJjyXqsUQ9lqgPJQbN1V7TIOIf_3v9AeJmas0</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Pourmottaghi, A.</creator><creator>Taban, M. 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R.</creatorcontrib><creatorcontrib>Gazor, S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pourmottaghi, A.</au><au>Taban, M. R.</au><au>Gazor, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A CFAR Detector in a Nonhomogenous Weibull Clutter</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2012-04-01</date><risdate>2012</risdate><volume>48</volume><issue>2</issue><spage>1747</spage><epage>1758</epage><pages>1747-1758</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>We propose a method that improves the constant false alarm rate (CFAR) detection of targets in a nonhomogenous clutter environment. We assume that the clutter data from neighboring cells may have an edge with unknown location dividing data samples into two parts with different independent and identically distributed (IID) Weibull distributions. We propose automatic clutter edge localization which allows us to eliminate the outlier/misleading data, and thereby improves the CFAR detection performance. 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subjects | Aircraft components Clutter Detectors Electronic systems Estimators Image edge detection Localization Maximum likelihood estimation Object detection Position (location) Radar Weibull distribution |
title | A CFAR Detector in a Nonhomogenous Weibull Clutter |
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