Sidelobe Suppression With Low Peak-to-Valley Power Ratio Waveforms in MIMO-OFDM Dual-Function Radar-Communication Systems

In orthogonal frequency division multiplexing (OFDM)-based dual-function radar-communication (DFRC) systems, achieving low peak-to-average power ratio (PAPR) is essential for transmission efficiency and performance. Traditional PAPR constraints, however, fall short in managing the dynamic range of waveforms, thereby limiting power maximization. This study introduces a peak-to-valley power ratio (PVPR) constraint for multiple-input multiple-output (MIMO) DFRC systems to enhance hardware compatibility, waveform fidelity, and consistent transmission power. We develop low-PVPR OFDM waveforms tailored for MIMO-DFRC systems, improving both radar and communication functions. For radar applications, we optimize the weighted peak or integrated sidelobe level (WPISL) and employ phase-encoded waveforms to minimize sidelobes. For communication purposes, we implement a constructive interference (CI) design coupled with a waveform similarity error (WSE) constraint. Utilizing the majorization-minimization (MM) framework, we convert the non-convex problem into a series of convex ones. Numerical results demonstrate significant improvements in sidelobe reduction, symbol error rate (SER), and average achievable rate, thereby validating the effectiveness of our approach in enhancing DFRC systems.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-11-28
DOI
https://doi.org/10.1109/tvt.2024.3508077
Citations
3
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
3.90

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article

Sidelobe Suppression With Low Peak-to-Valley Power Ratio Waveforms in MIMO-OFDM Dual-Function Radar-Communication Systems

Linlong Wu, Huiping Huang, Feng Xiang, Zhongqing Zhao et al.
3 citations
IEEE Transactions on Vehicular Technology
Radar Systems and Signal Processing
3.90
article

Sidelobe Suppression With Low Peak-to-Valley Power Ratio Waveforms in MIMO-OFDM Dual-Function Radar-Communication Systems

Linlong Wu, Huiping Huang, Feng Xiang, Zhongqing Zhao, Zhanfeng Zhao
article en
3 citations

Abstract

In orthogonal frequency division multiplexing (OFDM)-based dual-function radar-communication (DFRC) systems, achieving low peak-to-average power ratio (PAPR) is essential for transmission efficiency and performance. Traditional PAPR constraints, however, fall short in managing the dynamic range of waveforms, thereby limiting power maximization. This study introduces a peak-to-valley power ratio (PVPR) constraint for multiple-input multiple-output (MIMO) DFRC systems to enhance hardware compatibility, waveform fidelity, and consistent transmission power. We develop low-PVPR OFDM waveforms tailored for MIMO-DFRC systems, improving both radar and communication functions. For radar applications, we optimize the weighted peak or integrated sidelobe level (WPISL) and employ phase-encoded waveforms to minimize sidelobes. For communication purposes, we implement a constructive interference (CI) design coupled with a waveform similarity error (WSE) constraint. Utilizing the majorization-minimization (MM) framework, we convert the non-convex problem into a series of convex ones. Numerical results demonstrate significant improvements in sidelobe reduction, symbol error rate (SER), and average achievable rate, thereby validating the effectiveness of our approach in enhancing DFRC systems.

IEEE Transactions on Vehicular TechnologyVol. 74(4)
University of Luxembourg (LU), Harbin Institute of Technology (CN), Chalmers University of Technology (SE)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 6%
Radar Systems and Signal Processing
3.90
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