TY - GEN
T1 - An Enhanced Radar and Communication Coexistence Scheme with Spatio-Temporal Design
AU - Qian, Junhui
AU - Zhang, Jinru
AU - Chen, Gaojie
AU - Wang, Jingjing
AU - Wu, Yanhui
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - A spatio-temporal co-design framework for simultaneous optimization of the performance of radar and communication system in spectrum coexistence scenario is developed. We use the signal-to-interference-plus noise ratio (SINR) on the radar side and the communication rate on the communication side as the performance indicators of the two subsystems, and obtain the original nonconvex optimization problem under the energy and spectrally compatible constraints. Considering the complexity of the original trivariate nonconvex problem, a sequential iterative optimization framework with more design degrees of freedom is presented to transform the nonconvex problem into several single-variable subproblems. Then, the alternating direction method of multipliers (ADMM) method and minimum variance distortionless response criteria are adopted to solve the transformed subproblems. Finally, the superiority of the proposed design has been substantiated through simulation results.
AB - A spatio-temporal co-design framework for simultaneous optimization of the performance of radar and communication system in spectrum coexistence scenario is developed. We use the signal-to-interference-plus noise ratio (SINR) on the radar side and the communication rate on the communication side as the performance indicators of the two subsystems, and obtain the original nonconvex optimization problem under the energy and spectrally compatible constraints. Considering the complexity of the original trivariate nonconvex problem, a sequential iterative optimization framework with more design degrees of freedom is presented to transform the nonconvex problem into several single-variable subproblems. Then, the alternating direction method of multipliers (ADMM) method and minimum variance distortionless response criteria are adopted to solve the transformed subproblems. Finally, the superiority of the proposed design has been substantiated through simulation results.
KW - ADMM
KW - nonconvex optimization
KW - Spatio-temporal design
KW - spectrum coexistence
UR - https://www.scopus.com/pages/publications/85196835858
U2 - 10.1109/RadarConf2458775.2024.10548977
DO - 10.1109/RadarConf2458775.2024.10548977
M3 - 会议稿件
AN - SCOPUS:85196835858
T3 - Proceedings of the IEEE Radar Conference
BT - RadarConf 2024 - 2024 IEEE Radar Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Radar Conference, RadarConf 2024
Y2 - 6 May 2024 through 10 May 2024
ER -