Ascione, Marcello (2013) Innovative Measurement methods for Homeland Security applications. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Innovative Measurement methods for Homeland Security applications |
| Creators: | Creators Email Ascione, Marcello m.ascione81@gmail.com |
| Date: | 2 April 2013 |
| Number of Pages: | 120 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Informatica e sistemistica |
| Scuola di dottorato: | Ingegneria dell'informazione |
| Dottorato: | Ingegneria informatica ed automatica |
| Ciclo di dottorato: | 25 |
| Coordinatore del Corso di dottorato: | nome email Garofalo, Francesco francesco.garofalo@unina.it |
| Tutor: | nome email Angrisani, Leopoldo angrisan@unina.it D'Urso, Michele michele.durso@selex-es.com Buonanno, Aniello aniello.buonanno@selex-es.com |
| Date: | 2 April 2013 |
| Number of Pages: | 120 |
| Keywords: | Through Wall Imaging, Measurement method, Multiple Signal Classification |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/02 - Campi elettromagnetici Area 09 - Ingegneria industriale e dell'informazione > ING-INF/07 - Misure elettriche e elettroniche |
| Aree tematiche (7° programma Quadro): | SICUREZZA > Sicurezza dei cittadini |
| Date Deposited: | 05 Apr 2013 12:40 |
| Last Modified: | 04 Dec 2014 08:25 |
| URI: | http://www.fedoa.unina.it/id/eprint/9399 |
| DOI: | 10.6092/UNINA/FEDOA/9399 |
Collection description
This work deals with the implementation of a suitable technological support to improve the success likelihood of Urban Search and Rescue (USAR) missions. Here we introduce a new architectural solution to detect and track humans beyond walls for homeland protection applications. Two different measurement methods have been developed, the first one for detection and tracking of moving targets in two-dimensional scenes exploiting an advanced imaging technique, which takes advantages from a regularized linear inversion scheme. The second method has been developed for life signs detection and it takes advantage from a suitable spatial smoothing strategy applied to the traditional algorithm for Multiple Signal Classification (MUSIC), mandated to single out the spectral components of the received signal.
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