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A General CA-CFAR Performance Analysis for Weibull-Distributed Clutter Environments

Lenin Patricio Jiménez Jiménez, Fernando Darío Almeida García, Maria Cecilia Luna Alvarado, Gustavo Fraidenraich, Eduardo Rodrigues de Lima

2022IEEE Geoscience and Remote Sensing Letters27 citationsDOI

Abstract

In this letter, we provide a general cell-averaging constant false alarm rate (CA-CFAR) performance analysis considering homogeneous Weibull-distributed clutter environments. To do so, we provide generalized expressions for the probability of detection (PD) and probability of false alarm (PFA). Notably, these expressions permit arbitrary values for the shape parameter of the Weibull interference. So far, all CA-CFAR performance analyses were carried out by setting the shape parameter of the Weibull samples within the CFAR window equal to one, which narrows the overall evaluation spectrum. In this study, we allow the shape parameter to take values greater than or equal to one—regime of paramount importance in many practical applications—and still manage to derive manageable and easy-to-implement solutions. All our expressions are confirmed via Monte-Carlo simulations. Numerical results indicate that radar detection is improved as the shape parameter increases.

Topics & Concepts

ClutterConstant false alarm rateWeibull distributionShape parameterComputer scienceFalse alarmMonte Carlo methodRadarAlgorithmStatistical powerInterference (communication)StatisticsMathematicsArtificial intelligenceTelecommunicationsChannel (broadcasting)Radar Systems and Signal ProcessingAdvanced SAR Imaging TechniquesOcean Waves and Remote Sensing
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