Títol:
|
Determining building interior structures using compressive sensing
|
Autor/a:
|
Lagunas Targarona, Eva; Amin, Moeness; Ahmad, Fauzia; Nájar Martón, Montserrat
|
Altres autors:
|
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. A&MP - Grup de Processament d'Arrays i Sistemes Multicanal |
Abstract:
|
We consider imaging of the building interior structures using Compressive Sensing (CS) with
applications to through-the-wall imaging and urban sensing. We consider a monostatic synthetic aperture
radar imaging system employing stepped frequency waveform. The proposed approach exploits prior
information of building construction practices to form an appropriate sparse representation of the building
interior layout. We devise a dictionary of possible wall locations, which is consistent with the fact that
interior walls are typically parallel or perpendicular to the front wall. The dictionary accounts for the
dominant normal angle reflections from exterior and interior walls for the monostatic imaging system.
Compressive sensing is applied to a reduced set of observations to recover the true positions of the
walls. Additional information about interior walls can be obtained using a dictionary of possible corner
reflectors, which is the response of the junction of two walls. Supporting results based on simulation
and laboratory experiments are provided. It is shown that the proposed sparsifying basis outperforms
the conventional through-the-wall CS model, the wavelet sparsifying basis, and the block sparse model
for building interior layout detection. |
Abstract:
|
Peer Reviewed |
Matèries:
|
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions -Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar -Radar -Signal theory (Telecommunication) -Senyal, Teoria del (Telecomunicació) -Radar |
Drets:
|
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipus de document:
|
Article - Versió publicada Article |
Compartir:
|
|