Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space
The radar detection with decision making in the moments space (DRACEC method) is based on a statistical analysis to determine the boundary between the background (absent target) and the anomaly (present target) classes. In this article, the boundary is taken as an ellipse and is calculated for two d...
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doaj-d458bebc2ed3409988cb541b70f89dc42020-11-25T00:14:20ZengDepartamento de Ciência e Tecnologia AeroespacialJournal of Aerospace Technology and Management2175-91462019-05-011112219221910.5028/jatm.v11.1034Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment SpaceCamilo Guillén0Nelson Chávez1Universidad Tecnológica de la Habana José Antonio EcheverríaUniversidad Tecnológica de la Habana José Antonio EcheverríaThe radar detection with decision making in the moments space (DRACEC method) is based on a statistical analysis to determine the boundary between the background (absent target) and the anomaly (present target) classes. In this article, the boundary is taken as an ellipse and is calculated for two dimensions, emphasizing its geometric interpretation. The procedures to establish the shape, location, and size of the ellipse are highlighted, guaranteeing the probability of false alarm by applying the Neyman-Pearson criterion. The proposal establishes a methodology for calculation of the boundary when it is required to use the moments directly as a sufficient decision statistic.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100319&lng=en&nrm=iso&tlng=enRadarDRACEC methodMoment space |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Camilo Guillén Nelson Chávez |
spellingShingle |
Camilo Guillén Nelson Chávez Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space Journal of Aerospace Technology and Management Radar DRACEC method Moment space |
author_facet |
Camilo Guillén Nelson Chávez |
author_sort |
Camilo Guillén |
title |
Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space |
title_short |
Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space |
title_full |
Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space |
title_fullStr |
Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space |
title_full_unstemmed |
Two-dimensional Determination of the Decision Boundary for a Radar Detection Method in the Moment Space |
title_sort |
two-dimensional determination of the decision boundary for a radar detection method in the moment space |
publisher |
Departamento de Ciência e Tecnologia Aeroespacial |
series |
Journal of Aerospace Technology and Management |
issn |
2175-9146 |
publishDate |
2019-05-01 |
description |
The radar detection with decision making in the moments space (DRACEC method) is based on a statistical analysis to determine the boundary between the background (absent target) and the anomaly (present target) classes. In this article, the boundary is taken as an ellipse and is calculated for two dimensions, emphasizing its geometric interpretation. The procedures to establish the shape, location, and size of the ellipse are highlighted, guaranteeing the probability of false alarm by applying the Neyman-Pearson criterion. The proposal establishes a methodology for calculation of the boundary when it is required to use the moments directly as a sufficient decision statistic. |
topic |
Radar DRACEC method Moment space |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100319&lng=en&nrm=iso&tlng=en |
work_keys_str_mv |
AT camiloguillen twodimensionaldeterminationofthedecisionboundaryforaradardetectionmethodinthemomentspace AT nelsonchavez twodimensionaldeterminationofthedecisionboundaryforaradardetectionmethodinthemomentspace |
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1725390991795421184 |