Radar Tracking System Using Contextual Information on a Neural Network Architecture in Air Combat Maneuvering

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dc.contributor.author Navidad Pineda, Antonio
dc.contributor.author Usero Aragonés, Luis
dc.contributor.author Fernández del Castillo Díez, José Raúl
dc.contributor.author Patricio Guisado, Miguel Ángel
dc.date.accessioned 2014-02-18T10:17:54Z
dc.date.available 2014-02-18T10:17:54Z
dc.date.issued 2013-07-02
dc.identifier.bibliographicCitation International Journal of Distributed Sensor Networks, (2013). vol. 2013, pp 1-11
dc.identifier.issn 1550-1329
dc.identifier.uri http://hdl.handle.net/10016/18280
dc.description.abstract Air surveillance radar tracking systems present a variety of known problems related to uncertainty and lack of accurately in radar measurements used as source in these systems. In this work, we feature the theoretical aspects of a tracking algorithm based on neural network paradigm where, from discrete measurements provided by surveillance radar, the objective will be to estimate the target state for tracking purposes as accuracy as possible. The absence of an optimal statistical solution makes the featured neural network attractive despite the availability of complex and well-known filtering algorithms.Neural networks exhibit universal mapping capabilities that allow them to be used as a control tool for capturing hidden information about models learned from a dataset. We use these capabilities to let the network learn, not only from the received radar measurement information, but also from the aircraft maneuvering context, contextual information, where tracking application is working, taking into account this new contextual information which could be obtained from predefined, commonly used, and well-known aircraft trajectories. In this case study, the proposed solution is applied to a typical air combat maneuvering, a dogfight, a form of aerial combat between fighter aircraft. Advantages of integrating contextual information in a neural network tracking approach are demonstrated.
dc.description.sponsorship This work was supported in part by ProjectsMEyC TEC2012- 37832-C02-01, MEyC TEC2011-28626-C02-02, and CAM CONTEXTS (S2009/TIC-1485).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Hindawi Publishing Corporation
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Radar Tracking System
dc.subject.other Neural Network Architecture
dc.subject.other Air Combat Maneuvering
dc.title Radar Tracking System Using Contextual Information on a Neural Network Architecture in Air Combat Maneuvering
dc.type article
dc.description.status Publicado
dc.subject.eciencia Informática
dc.identifier.doi 10.1155/2013/160718
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 11
dc.identifier.publicationtitle International journal of distributed sensor networks
dc.identifier.publicationvolume 2013
dc.identifier.uxxi AR/0000014528
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