Multi-User and Multi-Target Constant Waveform Design of Dual-Function Radar and Communication System

ZHU Jinkun; JIN Tian; TANG Yuhang; SONG Yongping; LIU Wei

doi:10.11999/JEIT230827

Volume 45 Issue 11

Nov. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(11): 3821-3829

ZHU Jinkun, JIN Tian, TANG Yuhang, SONG Yongping, LIU Wei. Multi-User and Multi-Target Constant Waveform Design of Dual-Function Radar and Communication System[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3821-3829. doi: 10.11999/JEIT230827

Citation:

ZHU Jinkun, JIN Tian, TANG Yuhang, SONG Yongping, LIU Wei. Multi-User and Multi-Target Constant Waveform Design of Dual-Function Radar and Communication System[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3821-3829. doi: 10.11999/JEIT230827

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Multi-User and Multi-Target Constant Waveform Design of Dual-Function Radar and Communication System

doi: 10.11999/JEIT230827

School of Electronic Science, National University of Defense Technology, Changsha 410073, China

Received Date: 2023-08-20
Rev Recd Date: 2023-11-02

Available Online: 2023-11-14

Publish Date: 2023-11-28

Abstract

Abstract

The Dual-Functional Radar-Communication (DFRC) system can effectively utilize hardware and spectrum resources, which is an effective way to solve the shortage of the wireless spectrum resource. In this paper, for the scenario of simultaneous multi-target detection and multi-user communication, the Signal-to-Interference-Noise Ratio (SINR) of the radar received echo is used as an index to guarantee the detection performance, and the Multi-User Interference (MUI) of the communication is used as a communication index to guarantee the transmission performance of communication. Meanwhile, constraints on the constant modulus of the waveform are added to ensure that the power amplifier at the transmitter operates in the saturation region. The paper proposes a mathematical model for waveform design that maximizes the minimum SINR of the radar multi-target echoes while satisfying a certain amount of the communication MUI energy by jointly optimizing the waveforms as well as the filters. For this optimization problem, the method of alternating iterative optimization is adopted to solve the problem. Simulation results show that the designed waveform ensures both radar and communication related performance in simultaneous multi-target detection and multi-user communication scenarios.
- Dual-Functional Radar-Communication (DFRC),
- Multi-Input Multi-Output (MIMO),
- Waveform design,
- Constant modulus

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References(24)

References

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