TY - GEN
T1 - A waveform covariancematrix for high SINR and lowside-lobe levels
AU - Ahmed, Sajid
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/5
Y1 - 2013/5
N2 - In this work to exploit the benefits of both multiple-input multiple-output (MIMO)-radar and phased-array a waveform covariance matrix is proposed. Our analytical results show that the proposed covariance matrix yields gain in signal-to-interference-plus-noise ratio (SINR) compared to MIMO-radar while the gain in SINR is close to phased-array and recently proposed phased-MIMO scheme. Transmitted waveforms with the proposed covariance matrix, at the receiver, significantly supress the side-lobe levels compared to phased-array, MIMO-radar, and phased-MIMO schemes. Moreover, in contrast to phased-MIMO our proposed scheme allows same power transmission from each antenna. Simulation results validate the analytical results. © 2013 IEEE.
AB - In this work to exploit the benefits of both multiple-input multiple-output (MIMO)-radar and phased-array a waveform covariance matrix is proposed. Our analytical results show that the proposed covariance matrix yields gain in signal-to-interference-plus-noise ratio (SINR) compared to MIMO-radar while the gain in SINR is close to phased-array and recently proposed phased-MIMO scheme. Transmitted waveforms with the proposed covariance matrix, at the receiver, significantly supress the side-lobe levels compared to phased-array, MIMO-radar, and phased-MIMO schemes. Moreover, in contrast to phased-MIMO our proposed scheme allows same power transmission from each antenna. Simulation results validate the analytical results. © 2013 IEEE.
UR - http://hdl.handle.net/10754/564718
UR - http://ieeexplore.ieee.org/document/6638429/
UR - http://www.scopus.com/inward/record.url?scp=84890514742&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638429
DO - 10.1109/ICASSP.2013.6638429
M3 - Conference contribution
SN - 9781479903566
SP - 4096
EP - 4100
BT - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -