| Texto completo | |
| Autor(es): |
Luna Alvarado, Maria Cecilia
;
Almeida Garcia, Fernando Dario
;
Jimenez Jimenez, Lenin Patricio
;
Fraidenraich, Gustavo
;
Iano, Yuzo
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE Geoscience and Remote Sensing Letters; v. 19, p. 5-pg., 2022-01-01. |
| Resumo | |
In this letter, we derive a novel exact expression for the probability of false alarm (PFA) and an approximate closed-form solution for the probability of detection (PD) of a smallest of cell-averaging constant false alarm rate (SOCA-CFAR) detector operating over Weibull-distributed clutter. For the analysis, we consider an exponentially distributed target and allow arbitrary values for the shape parameter of clutter interference. To the best of our knowledge, there are no exact or approximate performance evaluations for an SOCA-CFAR detector considering arbitrary values for the shape parameter of the Weibull interference samples (i.e., different from 1) contained within the CFAR window. Therefore, our analytical derivations generalize previous performance evaluation studies and take a small step toward a better understanding of more realistic SOCA-CFAR detectors. Moreover, we obtain exact formulations for the probability density function (PDF) and the cumulative distribution function (CDF) for a minimum of two sums of independent and identically distributed (i.i.d.) Weibull random variables. Numerical results indicate that the system performance improves as the shape parameter of the Weibull interference increases. The validity of all our expressions is confirmed via Monte Carlo simulations. (AU) | |
| Processo FAPESP: | 21/03923-9 - Um arcabouço aprimorado para somas de variáveis aleatórias de classe Gaussiana com aplicações em sistemas de radar e comunicação |
| Beneficiário: | Fernando Darío Almeida García |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |