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Joint Robust Transmit Waveform and Receive Beamforming Design for MIMO Dual-Function Radar-Communication Systems
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DOI：10.1016/j.sigpro.2026.110679.png)
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Abstract
En 中文
In multi-input multi-output (MIMO) dual-function radar-communication (DFRC) systems, amplitude-phase errors and channel state information (CSI) estimation errors are inevitable. These errors will deteriorate the radar and communication performance. Due to this, a joint robust transmit waveform and receive beamforming design method is proposed. Firstly, the signal models for the MIMO DFRC system are developed based on uncertainty sets of amplitude-phase errors and CSI estimation errors. Then, the optimization problem for joint robust transmit waveform and receive beamforming design is formulated. In this problem, the radar receive signal-to-interference-plus-noise ratio (SINR) is maximized, under the constraint of the interference in communication receiver as well as the constraints of both transmit and receive energy. To solve this problem, the Dinkelbach alternating gradient projection (D-AGP) algorithm is proposed, and the computational complexity is analyzed and convergence is proved. Finally, some simulation results are given to verify the effectiveness of the proposed method.
Keywords:
MIMO
Dual-Function Radar-Communication
Robust Transmit Waveform
Receive Beamforming
Amplitude-Phase Errors
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