Reduction of snapshots for MIMO radar detection by block/group orthogonal matching pursuit

Handle URI:
http://hdl.handle.net/10754/565001
Title:
Reduction of snapshots for MIMO radar detection by block/group orthogonal matching pursuit
Authors:
Ali, Hussain El Hosiny; Ahmed, Sajid; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Multiple-input multiple-output (MIMO) radar works on the principle of transmission of independent waveforms at each element of its antenna array and is widely used for surveillance purposes. In this work, we investigate MIMO radar target localization problem with compressive sensing. Specifically, we try to solve the problem of estimation of target location in MIMO radar by group and block sparsity algorithms. It will lead us to a reduced number of snapshots required and also we can achieve better radar resolution. We will use group orthogonal matching pursuit (GOMP) and block orthogonal matching pursuit (BOMP) for our problem. © 2014 IEEE.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 International Radar Conference
Conference/Event name:
2014 International Radar Conference, Radar 2014
Issue Date:
Oct-2014
DOI:
10.1109/RADAR.2014.7060279
Type:
Conference Paper
ISBN:
9781479941957
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAli, Hussain El Hosinyen
dc.contributor.authorAhmed, Sajiden
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:27:46Zen
dc.date.available2015-08-04T07:27:46Zen
dc.date.issued2014-10en
dc.identifier.isbn9781479941957en
dc.identifier.doi10.1109/RADAR.2014.7060279en
dc.identifier.urihttp://hdl.handle.net/10754/565001en
dc.description.abstractMultiple-input multiple-output (MIMO) radar works on the principle of transmission of independent waveforms at each element of its antenna array and is widely used for surveillance purposes. In this work, we investigate MIMO radar target localization problem with compressive sensing. Specifically, we try to solve the problem of estimation of target location in MIMO radar by group and block sparsity algorithms. It will lead us to a reduced number of snapshots required and also we can achieve better radar resolution. We will use group orthogonal matching pursuit (GOMP) and block orthogonal matching pursuit (BOMP) for our problem. © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectblock orthogonal matching pursuiten
dc.subjectcompressive sensingen
dc.subjectgroup orthogonal matching pursuiten
dc.titleReduction of snapshots for MIMO radar detection by block/group orthogonal matching pursuiten
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2014 International Radar Conferenceen
dc.conference.date13 October 2014 through 17 October 2014en
dc.conference.name2014 International Radar Conference, Radar 2014en
dc.contributor.institutionDepartment of Electrical Engineering, King Fahd University of Petroleum and MineralsDhahran, Saudi Arabiaen
kaust.authorAhmed, Sajiden
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
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