TY - GEN
T1 - Reduction of snapshots for MIMO radar detection by block/group orthogonal matching pursuit
AU - Ali, Hussain El Hosiny
AU - Ahmed, Sajid
AU - Al-Naffouri, Tareq Y.
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/10
Y1 - 2014/10
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/565001
UR - http://ieeexplore.ieee.org/document/7060279/
UR - http://www.scopus.com/inward/record.url?scp=84946689765&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2014.7060279
DO - 10.1109/RADAR.2014.7060279
M3 - Conference contribution
SN - 9781479941957
BT - 2014 International Radar Conference
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -