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

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    Type
    Conference Paper
    Authors
    Ali, Hussain El Hosiny
    Ahmed, Sajid
    Al-Naffouri, Tareq Y. cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-10
    Permanent link to this record
    http://hdl.handle.net/10754/565001
    
    Metadata
    Show full item record
    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.
    Citation
    Ali, H., Ahmed, S., Al-Naffouri, T. Y., & Alouini, S. (2014). Reduction of snapshots for MIMO radar detection by block/group orthogonal matching pursuit. 2014 International Radar Conference. doi:10.1109/radar.2014.7060279
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2014 International Radar Conference
    Conference/Event name
    2014 International Radar Conference, Radar 2014
    ISBN
    9781479941957
    DOI
    10.1109/RADAR.2014.7060279
    ae974a485f413a2113503eed53cd6c53
    10.1109/RADAR.2014.7060279
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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