Robust Transmit–Receive Design for Dual-Function Radar–Communication Systems

This letter investigates a robust transmit (Tx) waveform and receive (Rx) beamforming joint design method for dual-function radar-communication (DFRC) systems under channel state information (CSI) estimation errors and amplitude-phase errors among antenna arrays. The proposed method enables simultaneous target detection and multi-user communication in the presence of interference. Specifically, the design aims to maximize the worst-case radar signal-to-interference-plus-noise ratio (SINR) while suppressing multi-user interference (MUI) and maintaining radar waveform similarity. A non-convex optimization problem is formulated based on the signal model incorporating CSI estimation and amplitude-phase errors. To solve this problem, an alternating minimization algorithm based on successive convex approximation (AM-SCA) is developed. Simulation results demonstrate the effectiveness and robustness of the proposed method.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-10-13
DOI
https://doi.org/10.1109/lcomm.2025.3620885
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
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article

Robust Transmit–Receive Design for Dual-Function Radar–Communication Systems

Hao Tang, Xingchen Liu, Guisheng Liao, Yongjun Liu et al.
IEEE Communications Letters
Antenna Design and Optimization
article

Robust Transmit–Receive Design for Dual-Function Radar–Communication Systems

Hao Tang, Xingchen Liu, Guisheng Liao, Yongjun Liu, Heming Wang, Xiaoyang Dong
article en

Abstract

This letter investigates a robust transmit (Tx) waveform and receive (Rx) beamforming joint design method for dual-function radar-communication (DFRC) systems under channel state information (CSI) estimation errors and amplitude-phase errors among antenna arrays. The proposed method enables simultaneous target detection and multi-user communication in the presence of interference. Specifically, the design aims to maximize the worst-case radar signal-to-interference-plus-noise ratio (SINR) while suppressing multi-user interference (MUI) and maintaining radar waveform similarity. A non-convex optimization problem is formulated based on the signal model incorporating CSI estimation and amplitude-phase errors. To solve this problem, an alternating minimization algorithm based on successive convex approximation (AM-SCA) is developed. Simulation results demonstrate the effectiveness and robustness of the proposed method.

IEEE Communications LettersVol. 29(12)
Xidian University (CN)
Openalex Percentile: Top 61%
Antenna Design and Optimization
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Robust Transmit–Receive Design for Dual-Function Radar–Communication Systems — Hao Tang, Xingchen Liu, et al. · IEEE Communications Letters (2025) | TGRS Research Map | TGRS