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

• Published in: IEEE geoscience and remote sensing letters Vol. 19; pp. 1 - 5
• Main Authors: Jimenez Jimenez, Lenin Patricio, Garcia, Fernando Dario Almeida, Alvarado, Maria Cecilia Luna, Fraidenraich, Gustavo, Lima, Eduardo Rodrigues de
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cell-averaging constant false alarm rate (CA-CFAR); Clutter; Constant false alarm rate; Detection; Detectors; Monte Carlo simulation; Parameters; probability of detection (PD); probability of false alarm (PFA); Probability theory; Radar; Radar detection; Shape; Synthetic aperture radar; Weibull clutter; Weibull distribution
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2022.3187554

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.