TY - GEN
T1 - Sparse MIMO radar with phase mismatch
AU - Tan, Zhao
AU - Yang, Peng
AU - Nehorai, Arye
PY - 2013/10/18
Y1 - 2013/10/18
N2 - In this paper we propose a sparse model to accurately estimate target locations in a distributed multiple-input multiple-output (MIMO) radar system with phase mismatches at transmitters and receivers. We formulate the localization problem based on maximum a posteriori (MAP) estimation. To reduce the effect of phase mismatches we develop a novel alternating minimization approach based on sparse signal recovery and structured matrix perturbation. Using numerical simulations, we show that our algorithms significantly improve the performance of the distributed MIMO radar system.
AB - In this paper we propose a sparse model to accurately estimate target locations in a distributed multiple-input multiple-output (MIMO) radar system with phase mismatches at transmitters and receivers. We formulate the localization problem based on maximum a posteriori (MAP) estimation. To reduce the effect of phase mismatches we develop a novel alternating minimization approach based on sparse signal recovery and structured matrix perturbation. Using numerical simulations, we show that our algorithms significantly improve the performance of the distributed MIMO radar system.
KW - alternating minimization
KW - distributed MIMO radar
KW - phase mismatch
UR - http://www.scopus.com/inward/record.url?scp=84890520184&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638430
DO - 10.1109/ICASSP.2013.6638430
M3 - Conference contribution
AN - SCOPUS:84890520184
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4101
EP - 4105
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -