Published July 11, 2010
| Version v1
Conference paper
Estimation of the direction-of-arrival of correlated signals by means of a SVM-based multi-resolution approach
- Others:
- Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Department of Information Engineering and Computer Science (ELEDIA Research Group) ; University of Trento [Trento]
- Laboratoire des signaux et systèmes (L2S) ; Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
- IEEE
Description
This paper analyzes a method for the DOA estimation of correlated signals based on the integration of a SVM classifier and an iterative multi-scaling approach (IMSA). The aim of the SVM classifier is the definition of a probability map of the angular directions of incidence of the incoming signals starting from the knowledge of the correlation matrix of the antenna array, while the IMSA procedure is used to reduce the computational load as well as to increase the angular resolution accuracy.
Abstract
International audience
Additional details
- URL
- https://hal.science/hal-01222074
- URN
- urn:oai:HAL:hal-01222074v1
- Origin repository
- UNICA