TY - GEN
T1 - Robust Beamforming Design for MIMO-OFDM Joint Radar and Communication Systems
AU - Chou, Chi Han
AU - Lee, Ming Chun
AU - Kang, Po Chun
AU - Lee, Ta Sung
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The investigation of the joint radar and communication (RadCom) systems has drawn attention in recent years. However, the relevant investigation of the multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) based joint RadCom system is incomplete, especially for the robust beamforming design. To fill this gap, by first formulating a robust design problem that jointly considers the estimation of ranges, Doppler velocities, and angles of targets under uncertainty along with the system capacity, this paper studies the robust beamforming design for the MIMO-OFDM joint RadCom system. Then, since the design problem can be reformulated as a semidefinite programming with rank-1 constraint, we propose using the semidefinite relaxation to solve the problem. Simulation results show that our proposed design can outperform the reference methods in the literature.
AB - The investigation of the joint radar and communication (RadCom) systems has drawn attention in recent years. However, the relevant investigation of the multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) based joint RadCom system is incomplete, especially for the robust beamforming design. To fill this gap, by first formulating a robust design problem that jointly considers the estimation of ranges, Doppler velocities, and angles of targets under uncertainty along with the system capacity, this paper studies the robust beamforming design for the MIMO-OFDM joint RadCom system. Then, since the design problem can be reformulated as a semidefinite programming with rank-1 constraint, we propose using the semidefinite relaxation to solve the problem. Simulation results show that our proposed design can outperform the reference methods in the literature.
UR - http://www.scopus.com/inward/record.url?scp=85202873700&partnerID=8YFLogxK
U2 - 10.1109/ICC51166.2024.10622363
DO - 10.1109/ICC51166.2024.10622363
M3 - Conference contribution
AN - SCOPUS:85202873700
T3 - IEEE International Conference on Communications
SP - 1189
EP - 1194
BT - ICC 2024 - IEEE International Conference on Communications
A2 - Valenti, Matthew
A2 - Reed, David
A2 - Torres, Melissa
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th Annual IEEE International Conference on Communications, ICC 2024
Y2 - 9 June 2024 through 13 June 2024
ER -