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| Citation: | WU Wenjun, TANG Bo, TANG Jun, et al. Waveform design for dual-function radar-communication systems in clutter[J]. Journal of Radars, 2022, 11(4): 570–580. doi: 10.12000/JR22105
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Waveform Design for Dual-function Radar-communication Systems in Clutter
DOI: 10.12000/JR22105
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Abstract
To prevent the degradation of the detection performance of Dual-Function Radar-Communication (DFRC) system in the presence of clutter, we propose the joint design of a transmit waveform and receiver filter to suppress the clutter and enhance the target detection performance. We use the Signal-to-Interference-plus-Noise Ratio (SINR) as the design criterion. Meanwhile, the Multi-User Interference (MUI) energy of the communication signals is constrained to maintain the quality of service for information transmission via DFRC systems. In addition, a similarity constraint is enforced to enable the transmitted waveform to have a good ambiguity function. To tackle the joint optimization problem, we present an iterative algorithm based on cyclic optimization and Semi-Definite Relaxation (SDR). The convergence of the algorithm is proved by a theoretical analysis. The simulation results show that the designed waveform can improve the target detection performance of a DFRC system in clutter and efficiently realize multi-user communication. -
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References
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- Figure 1. Dual-function radar communication system based on MIMO array
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Figure 2. The decomposition of
${{{\tilde {\boldsymbol{X}}}}^{{\text{opt}}}}$ - Figure 3. Flow chart of the joint optimization algorithm
- Figure 4. SINRr versus iteration number with MUI energy of 10–3
- Figure 5. Beampattern of the dual-function radar-communication systems with MUI energy of 10–3
- Figure 6. The performance of the synthesized communication signals
- Figure 7. The achievable sum-rate versus the signal-to-noise ratio of communication signals
- Figure 8. SINRr versus iteration number for different δ
- Figure 9. Ambiguity functions of the presented waveforms
- Figure 10. SINRr versus iteration number for different β
- Figure 11. The achievable sum-rate versus the signal-to-noise ratio of communication signals for different β
- Figure 12. SINRr versus iteration number for different M