TY - GEN
T1 - FMCW Waveform Design With Good Correlation Level for the Joint Radar and Communications
AU - Wang, Yuhan
AU - Li, Yongzhe
AU - Tao, Ran
N1 - Publisher Copyright:
© 2025 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2025
Y1 - 2025
N2 - In this paper, we propose frequency modulated continuous wave (FMCW) design and receive processing techniques for joint radar and communications. Our approach simultaneously takes into account the correlation property of waveform and interference mitigation for radar while enabling information embedding (IE) for communications. Specifically, we adopt an advanced IE strategy using hybrid modulations to enhance communication rates. Meanwhile, we seek to minimize the integrated sidelobe level of FMCW waveform to optimize the correlation level and leverage waveform agility to mitigate interference for radar. The design leads to a non-convex optimization problem. To address it, we choose to directly manipulate the polynomial coefficients in the phase elements of FMCW waveform and reformulate it into a proper form. We then make use of the majorization-minimization technique to find solutions through iterations for solving the reformulated design. A closed-form solution is obtained at each iteration. Our major contribution also lies in proposing a demodulation method for communications. Simulation results verify the effectiveness of the proposed FMCW design and its superiority over existing work.
AB - In this paper, we propose frequency modulated continuous wave (FMCW) design and receive processing techniques for joint radar and communications. Our approach simultaneously takes into account the correlation property of waveform and interference mitigation for radar while enabling information embedding (IE) for communications. Specifically, we adopt an advanced IE strategy using hybrid modulations to enhance communication rates. Meanwhile, we seek to minimize the integrated sidelobe level of FMCW waveform to optimize the correlation level and leverage waveform agility to mitigate interference for radar. The design leads to a non-convex optimization problem. To address it, we choose to directly manipulate the polynomial coefficients in the phase elements of FMCW waveform and reformulate it into a proper form. We then make use of the majorization-minimization technique to find solutions through iterations for solving the reformulated design. A closed-form solution is obtained at each iteration. Our major contribution also lies in proposing a demodulation method for communications. Simulation results verify the effectiveness of the proposed FMCW design and its superiority over existing work.
KW - Frequency modulated continuous wave
KW - information embedding
KW - integrated sidelobe level
KW - interference mitigation
KW - waveform design
UR - https://www.scopus.com/pages/publications/105029872784
U2 - 10.23919/EUSIPCO63237.2025.11226804
DO - 10.23919/EUSIPCO63237.2025.11226804
M3 - Conference contribution
AN - SCOPUS:105029872784
T3 - European Signal Processing Conference
SP - 2237
EP - 2241
BT - 2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
T2 - 33rd European Signal Processing Conference, EUSIPCO 2025
Y2 - 8 September 2025 through 12 September 2025
ER -