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Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/6F4094F7-A1FD-45D3-8578-74CFD1B6FDBA | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.66130 | - |
| Language | en | - |
| Extent | 665,8 kilobytes | el |
| Title | Subspace tracking for nested arrays | en |
| Title | Παρακολούθηση υποχώρου για ένθετες συστοιχίες κεραιών | el |
| Creator | Fountoulakis Emmanouil | en |
| Creator | Φουντουλακης Εμμανουηλ | el |
| Contributor [Thesis Supervisor] | Karystinos Georgios | en |
| Contributor [Thesis Supervisor] | Καρυστινος Γεωργιος | el |
| Contributor [Committee Member] | Bletsas Aggelos | en |
| Contributor [Committee Member] | Μπλετσας Αγγελος | el |
| Contributor [Committee Member] | Digalakis Vasilis | en |
| Contributor [Committee Member] | Διγαλακης Βασιλης | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Electrical and Computer Engineering | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών | el |
| Content Summary | In radar, sonar, and mobile communications, the estimation of the directions from which multi- ple signals arrive at a point is called the direction of arrival (DoA) estimation problem and, over the past decades, has been performed often through uniform linear arrays (ULAs) in conjunc- tion with high-resolution subspace-based algorithms. Such techniques, however, have limited capability of the number of directions they can estimate; if the ULA consists of N antenna elements, then high-resolution subspace-based algorithms can estimate the directions of up to N − 1 signals. To increase this number, a novel structure that consists of N antenna elements and enables the estimation of O (N^2 ) signal directions has been developed recently. It lies on specific nonuniform-array structures which are called nested arrays. In this thesis, we first overviewed the structure and properties of nested arrays and eval- uated their performance through computer simulations. We observed that the nested arrays with conventional subspace-based signal-processing algorithms can offer high performance but require high complexity, which makes them impractical for real-time applications. Then, we developed novel subspace tracking techniques for nested arrays that have lower complexity, are proven to converge to the optimal, subspace-based estimator, and are capable of tracking changes in the directions of the arriving signals (for example, when a source is moving with respect to the array receiver). | en |
| Type of Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2016-07-25 | - |
| Date of Publication | 2016 | - |
| Subject | Signal processing | en |
| Bibliographic Citation | Emmanouil Fountoulakis, "Subspace tracking for nested arrays", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2016 | en |
| Bibliographic Citation | Εμμανουήλ Φουντουλάκης, "Παρακολούθηση υποχώρου για ένθετες συστοιχίες κεραιών", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016 | el |
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