TY - GEN
T1 - CI-Based QoS-Constrained Transmit Signal Design for DFRC Systems with One-Bit DACs
AU - Wu, Zheyu
AU - Chen, Wei Kun
AU - Liu, Ya Feng
AU - Masouros, Christos
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In this paper, we investigate the transmit signal de-sign problem for a dual-functional radar-communication (DFRC) system equipped with one-bit digital-to-analog converters (DACs). Specifically, the one-bit DFRC waveform is designed to minimize the difference between the transmitted beampattern and a desired one, while ensuring constructive interference (CI)-based QoS constraints for communication users. The formulated problem is a discrete optimization problem with a nonconvex objective function and many linear constraints. To solve it, we first propose a penalty model to transform the discrete problem into a continuous one. Then, we propose an inexact augmented Lagrangian method (ALM) framework to solve the penalty model. In particular, the ALM subproblem at each iteration is solved by a custom-designed block successive upper-bound minimization (BSUM) algorithm, which admits closed-form updates and thus makes the proposed approach computationally efficient. Simulation results verify the superiority of the proposed approach over the existing ones in both the radar and communication performance.
AB - In this paper, we investigate the transmit signal de-sign problem for a dual-functional radar-communication (DFRC) system equipped with one-bit digital-to-analog converters (DACs). Specifically, the one-bit DFRC waveform is designed to minimize the difference between the transmitted beampattern and a desired one, while ensuring constructive interference (CI)-based QoS constraints for communication users. The formulated problem is a discrete optimization problem with a nonconvex objective function and many linear constraints. To solve it, we first propose a penalty model to transform the discrete problem into a continuous one. Then, we propose an inexact augmented Lagrangian method (ALM) framework to solve the penalty model. In particular, the ALM subproblem at each iteration is solved by a custom-designed block successive upper-bound minimization (BSUM) algorithm, which admits closed-form updates and thus makes the proposed approach computationally efficient. Simulation results verify the superiority of the proposed approach over the existing ones in both the radar and communication performance.
KW - Augmented Lagrangian method
KW - dual-functional radar communication
KW - one-bit digital-to-analog converters
KW - penalty method
UR - http://www.scopus.com/inward/record.url?scp=85203346383&partnerID=8YFLogxK
U2 - 10.1109/SAM60225.2024.10636431
DO - 10.1109/SAM60225.2024.10636431
M3 - Conference contribution
AN - SCOPUS:85203346383
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
BT - 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop, SAM 2024
PB - IEEE Computer Society
T2 - 13rd IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2024
Y2 - 8 July 2024 through 11 July 2024
ER -