Evaluación del desempeño de detectores CFAR
The operation of coastal and off-shore radars is affected because the targets are surrounded by a background filled with sea clutter. According on the Neyman-Pearson criterion, radar detectors must always try to maintain a constant false alarm probability before trying to improve other system variab...
- Autores:
-
Machado-Fernández, José Raúl
Mojena-Hernández, Norelys
Bacallao-Vidal, Jesús de la Concepción
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/36180
- Acceso en línea:
- http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/1772
http://hdl.handle.net/11634/36180
- Palabra clave:
- Rights
- License
- Copyright (c) 2018 ITECKNE
Summary: | The operation of coastal and off-shore radars is affected because the targets are surrounded by a background filled with sea clutter. According on the Neyman-Pearson criterion, radar detectors must always try to maintain a constant false alarm probability before trying to improve other system variables. Using the MATLAB mathematic software, the authors evaluated the performance of the CA, OS, MSCA, AND, OR and ISCFAR processors concerning their ability to maintain the constant false alarm probability conceived in the design. After testing the schemes with different test profiles whose samples were Rayleigh distributed, it was concluded that most of the alternatives exhibit problems when facing certain situations that may appear in real environments. Consequently, recommendations on which solution is best to use are offered for guaranteeing a reduced deviation of the operational false alarm probability from the value conceived in the design when processing heterogeneous clutter. |
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