CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter
Autor:
Machado-Fernández, José Raúl
; Bacallao-Vidal, Jesús Concepción
; Torres Martinez, Shirley
Fecha:
06/2017Palabra clave:
Tipo de Ítem:
articleDirección web:
https://ijimai.org/journal/bibcite/reference/2600
Resumen:
Oceanic and coastal radars operation is affected because the targets information is received mixed with and undesired contribution called sea clutter. Specifically, the popular CA-CFAR processor is incapable of maintaining its design false alarm probability when facing clutter with statistical variations. In opposition to the classic alternative suggesting the use of a fixed adjustment factor, the authors propose a modification of the CA- CFAR scheme where the factor is constantly corrected according on the background signal statistical changes. Mathematically translated as a variation in the shape parameter of the clutter distribution, the background signal changes were simulated through the Weibull, Log-Normal and K distributions, deriving expressions which allow choosing an appropriate factor for each possible statistical state. The investigation contributes to the improvement of radar detection by suggesting the application of an adaptive scheme which assumes the clutter shape parameter is known a priori. The offered mathematical expressions are valid for three false alarm probabilities and several windows sizes, covering also a wide range of clutter conditions.
Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
18 |
18 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
21 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
Machado Fernández, José Raúl; Bacallao Vidal, Jesús de la Concepción (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ... -
Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
Bacallao-Vidal, Jesús Concepción; Machado-Fernández, José Raúl (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ... -
Calidad de vida relacionada con la salud en una muestra de médicos internos residentes que realizan guardias en un Servicio de Urgencias: una perspectiva de género
Fernández-Prada, María; González-Cabrera, Joaquín (1); Torres G, Francisco; Iribar-Ibabe, Concepción; Peinado, José M. (Revista médica de Chile, 02/2014)The high emotional burden of physicians working in emergency departments may affect their quality of life perception. Aim: To evaluate health related quality of life among resident physicians performing shifts at an emergency ...