Optimal Selection of the Ca-cfar Adjustment Factor for K Power Sea Clutter with Statistical Variations Selección Óptima Del Factor De Ajuste Ca-cfar Para Clutter Marino De Potencia K Estadísticamente Variable
نویسندگان
چکیده
The presence of the sea clutter interfering signal sets limitations on the quality of radar detection in coastal and ocean environments. The CA-CFAR processor is the classic solution for detecting radar targets. It usually operates keeping constant its adjustment factor during the entire operation period. As a consequence, the scheme does not take into account the slow statistical variations of the background signal when performing the clutter discrimination. To solve this problem, the authors conducted an intensive processing of 40 million computergenerated clutter power samples in MATLAB. As a result, they found the optimal adjustment factor values to be applied in 40 possible clutter statistical states, suggesting thus the use of the CA-CFAR architecture with a variable adjustment factor. In addition, a curve fitting procedure was performed, obtaining mathematical expressions that generalize the results for the whole 1. Ingeniero en Telecomunicaciones y Electrónica, Doctorante, Profesor e Investigador, Grupo de Investigación de Radares, Departamento de Telecomunicaciones y Telemática, Facultad de Eléctrica, Universidad Tecnológica de La Habana José Antonio Echeverría (CUJAE), La Habana, Cuba, [email protected] 2. Ingeniero Eléctrico, Doctor en Ciencias Técnicas, Profesor Titular e Investigador, 2do Jefe del Grupo de Investigación de Radares, Departamento de Telecomunicaciones y Telemática, Facultad de Eléctrica, Universidad Tecnológica de La Habana José Antonio Echeverría (CUJAE), La Habana, Cuba, [email protected]
منابع مشابه
CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter
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