Publicación:
Performance Analysis of Metaheuristic Approaches for Single-Snapshot DOA Estimation

dc.contributor.authorErrasti Alcalá, B.es
dc.contributor.authorFernández Recio, R.es
dc.contributor.funderInstituto Nacional de Técnica Aeroespacial (INTA)es
dc.date.accessioned2022-09-23T07:26:19Z
dc.date.available2022-09-23T07:26:19Z
dc.date.issued2013-01-30
dc.description.abstractThis letter addresses the application of metaheuristics to the single-snapshot direction-of-arrival estimation. The performances of five of the most popular optimization algorithms-Particle Swarm Optimization, Ant Colony Optimization for Continuous Domains, Simulated Annealing, Genetic Algorithms, and Differential Evolution-are compared in terms of convergence, accuracy, resolution, and computational cost in order to find the most suitable one. Also, running parameters are suggested for all of them. The featured numerical simulations include both uniform and nonuniform arrays and different noise scenarios. Results show that all of the presented optimization algorithms are capable of solving the problem, but Ant Colony Optimization for Continuous Domains is the most recommendable .es
dc.description.peerreviewedPeerreviewes
dc.identifier.citationIEEE Antennas and Wireless Propagation Letters 12: 166-169es
dc.identifier.doi10.1109/LAWP.2013.2243694
dc.identifier.issn1536-1225
dc.identifier.issn1548-5757
dc.identifier.otherhttps://ieeexplore.ieee.org/abstract/document/6423777es
dc.identifier.urihttp://hdl.handle.net/20.500.12666/779
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.rights.licenseCopyright © 2013, IEEEes
dc.subjectAnt colony optimizationes
dc.subjectDirection of arrival (DOA)es
dc.subjectElectronic warfarees
dc.subjectGenetic algorithmses
dc.titlePerformance Analysis of Metaheuristic Approaches for Single-Snapshot DOA Estimationes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dspace.entity.typePublication

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
acceso-restringido.pdf
Tamaño:
221.73 KB
Formato:
Adobe Portable Document Format
Descripción:

Bloque de licencias

Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
4.82 KB
Formato:
Item-specific license agreed upon to submission
Descripción: