TY - JOUR
T1 - Multi-OFDM Waveform Design for Joint Radar and Communications via Hybrid Modulations
T2 - Achieving Good ISL and PMEPR Performances
AU - Xu, Xiaonan
AU - Li, Yongzhe
AU - Tao, Ran
AU - Shan, Tao
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - In this paper, we investigate the design of multiple orthogonal frequency-division multiplexing (OFDM) waveforms for joint radar and communications applications. The design objectives are to simultaneously minimize the integrated sidelobe level (ISL) and the peak-to-mean envelope power ratio (PMEPR) of the OFDM waveforms, while enabling high-rate data transmission through efficient information embedding (IE). To this end, we propose an adaptive IE scheme that jointly exploits frequency index and phase modulations to embed communication information while preserving sufficient degrees of freedom for radar-oriented optimization. Based on the proposed hybrid modulation framework, multi-OFDM waveforms are designed by optimizing a balanced trade-off between ISL and PMEPR. Unlike conventional approaches that focus solely on peak-to-average power ratio reduction or power allocation, the proposed method jointly optimizes the amplitudes and phases of complex weights across multiple OFDM subcarriers. The resulting design incorporates multiple constraints, including support for hybrid IE, compliance with the total transmit power budget, and enforcement of minimum amplitude levels for OFDM subcarrier weights. We formulate it as a nonconvex optimization problem, which is inherently challenging to solve. To address this challenge, we reformulate the objective function and apply majorization-minimization techniques. Furthermore, to address the complexity arising from multiple constraints, we reformulate the original problem as a joint optimization framework involving two separable variables, namely, the weight amplitude and phase, which is then solved in a cyclic manner. Closed-form iterative update rules are derived using suitable majorization functions, and the amplitude optimization is addressed via Lagrangian analysis and Karush-Kuhn-Tucker conditions. Finally, an efficient algorithm is proposed, and extensive simulation results demonstrate the effectiveness of the proposed approach.
AB - In this paper, we investigate the design of multiple orthogonal frequency-division multiplexing (OFDM) waveforms for joint radar and communications applications. The design objectives are to simultaneously minimize the integrated sidelobe level (ISL) and the peak-to-mean envelope power ratio (PMEPR) of the OFDM waveforms, while enabling high-rate data transmission through efficient information embedding (IE). To this end, we propose an adaptive IE scheme that jointly exploits frequency index and phase modulations to embed communication information while preserving sufficient degrees of freedom for radar-oriented optimization. Based on the proposed hybrid modulation framework, multi-OFDM waveforms are designed by optimizing a balanced trade-off between ISL and PMEPR. Unlike conventional approaches that focus solely on peak-to-average power ratio reduction or power allocation, the proposed method jointly optimizes the amplitudes and phases of complex weights across multiple OFDM subcarriers. The resulting design incorporates multiple constraints, including support for hybrid IE, compliance with the total transmit power budget, and enforcement of minimum amplitude levels for OFDM subcarrier weights. We formulate it as a nonconvex optimization problem, which is inherently challenging to solve. To address this challenge, we reformulate the objective function and apply majorization-minimization techniques. Furthermore, to address the complexity arising from multiple constraints, we reformulate the original problem as a joint optimization framework involving two separable variables, namely, the weight amplitude and phase, which is then solved in a cyclic manner. Closed-form iterative update rules are derived using suitable majorization functions, and the amplitude optimization is addressed via Lagrangian analysis and Karush-Kuhn-Tucker conditions. Finally, an efficient algorithm is proposed, and extensive simulation results demonstrate the effectiveness of the proposed approach.
KW - Closed-form solution
KW - Karush-Kuhn-Tucker condition
KW - joint radar and communications
KW - multiple orthogonal frequency-division multiplexing (OFDM)
UR - https://www.scopus.com/pages/publications/105050147544
U2 - 10.1109/TSP.2026.3729706
DO - 10.1109/TSP.2026.3729706
M3 - Article
AN - SCOPUS:105050147544
SN - 1053-587X
VL - 74
SP - 3999
EP - 4015
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
ER -