TY - JOUR
T1 - Joint System Design for Coexistence of MIMO Radar and MIMO Communication
AU - Qian, Junhui
AU - Lops, Marco
AU - Le Zheng, L.
AU - Wang, Xiaodong
AU - He, Zishu
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - This paper considers the joint design of a multiple-input multiple-output (MIMO) radar with co-located antennas and a MIMO communication system. The degrees of freedom under the designer's control are the waveforms transmitted by the radar transmit array, the filter at the radar array and the code-book employed by the communication system to form its space-time code matrix. Two formulations of the spectrum sharing problem are proposed. First, the design problem is stated as the constrained maximization of the signal-to-interference-plus-noise ratio at the radar receiver, where interference is due to both clutter and the coexistence structure, and the constraints concern both the similarity with a standard radar waveform and the rate achievable by the communication system, on top of those on the transmit energy. The resulting problem is nonconvex, but a reduced-complexity iterative algorithm, based on iterative alternating maximization of three suitably designed subproblems, is proposed and analyzed. In addition, the constrained maximization of the communication rate is also investigated. The convergence of all the devised algorithms is guaranteed. Finally, a thorough performance assessment is presented, aimed at showing the merits of the proposed approach.
AB - This paper considers the joint design of a multiple-input multiple-output (MIMO) radar with co-located antennas and a MIMO communication system. The degrees of freedom under the designer's control are the waveforms transmitted by the radar transmit array, the filter at the radar array and the code-book employed by the communication system to form its space-time code matrix. Two formulations of the spectrum sharing problem are proposed. First, the design problem is stated as the constrained maximization of the signal-to-interference-plus-noise ratio at the radar receiver, where interference is due to both clutter and the coexistence structure, and the constraints concern both the similarity with a standard radar waveform and the rate achievable by the communication system, on top of those on the transmit energy. The resulting problem is nonconvex, but a reduced-complexity iterative algorithm, based on iterative alternating maximization of three suitably designed subproblems, is proposed and analyzed. In addition, the constrained maximization of the communication rate is also investigated. The convergence of all the devised algorithms is guaranteed. Finally, a thorough performance assessment is presented, aimed at showing the merits of the proposed approach.
KW - MIMO communication
KW - Multiple-input multiple-output (MIMO) radar
KW - alternating optimization
KW - spectrum sharing
UR - http://www.scopus.com/inward/record.url?scp=85046341832&partnerID=8YFLogxK
U2 - 10.1109/TSP.2018.2831624
DO - 10.1109/TSP.2018.2831624
M3 - Article
AN - SCOPUS:85046341832
SN - 1053-587X
VL - 66
SP - 3504
EP - 3519
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 13
ER -