Robust Waveform Design Based on MIMO Multi-Function Radio Frequency Systems under Angle Uncertainties

TANG Bo; WU Wenjun; SHI Yingchun; WANG Xuyang; LI Da

doi:10.11999/JEIT220969

Volume 45 Issue 11

Nov. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(11): 3918-3926

TANG Bo, WU Wenjun, SHI Yingchun, WANG Xuyang, LI Da. Robust Waveform Design Based on MIMO Multi-Function Radio Frequency Systems under Angle Uncertainties[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3918-3926. doi: 10.11999/JEIT220969

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TANG Bo, WU Wenjun, SHI Yingchun, WANG Xuyang, LI Da. Robust Waveform Design Based on MIMO Multi-Function Radio Frequency Systems under Angle Uncertainties[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3918-3926. doi: 10.11999/JEIT220969

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Robust Waveform Design Based on MIMO Multi-Function Radio Frequency Systems under Angle Uncertainties

doi: 10.11999/JEIT220969

College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China

Funds: The National Natural Science Foundation of China (62171450, 61671453), The Anhui Provincial Natural Science Foundation (2108085J30)

Received Date: 2022-07-21
Rev Recd Date: 2022-09-17

Available Online: 2022-09-22

Publish Date: 2023-11-28

Abstract

Abstract

Multi-Function Radio Frequency (MFRF) systems based on Multiple-Input-Multiple-Output (MIMO) array can synthesize different signals that can realize multiple functions at different angles via waveform optimization. However, due to the angle uncertainties, the waveforms synthesized by MFRF systems might be distorted and the performance of the systems might degrade as well. The robust waveform design algorithm for MFRF systems under angle uncertainties is studied in this paper. Firstly, a waveform optimization based on Min-Max framework is proposed. Additionally, the Peak-to-Average-Power-Ratio (PAPR) constraint is enforced to reduce the waveform distortion caused by nonlinearity of the power amplifiers. To tackle this problem, an algorithm based on the Alternating Direction Method of Multipliers (ADMM) and Majorization-Minimization (MM) algorithm is derived. Simulation results show that the proposed algorithm can produce signals with different functions in different regions even with angle uncertainties.

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References(30)

References

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