Phased Array Radar Motion Compensation Based on Distributed IMUs

CHEN Pu; WU Xuhua; LI Zhenwei; FENG Xintao; ZHANG Yachong; CHENG Yongmei

doi:10.15892/j.cnki.djzdxb.2022.01.019

Journal of Projectiles, Rockets, Missiles and Guidance >

2022 , Vol. 42 >Issue 1: 101 - 105

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2022.01.019

Phased Array Radar Motion Compensation Based on Distributed IMUs

CHEN Pu ¹ ,
WU Xuhua ¹ ,
LI Zhenwei ² ,
FENG Xintao ² ,
ZHANG Yachong ¹ ,
CHENG Yongmei ²

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¹ Xi'an Flight Automatic Control Research Institute, Aviation Industry Corporation of China, Xi'an 710065, China
² School of Automation, Northwestern Polytechnical University, Xi'an 710129, China

Received date: 2021-03-03

Online published: 2025-02-21

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Abstract

For the problem that the deflection and deformation of the phased array radar causes the antenna gain loss to decrease, this paper proposes a phased error compensation method based on distributed IMUs. First, distributed IMUs installed on the arrayplane are used to perform the relative navigation between the main and sub-nodes, and the array plane deflection model is estimated through multi-node fusion. Then, the deflection displacement of eacharray element is calculated using the defection model to perform phase error compensation. Finally, the performance of the proposed method is verified by antenna gain loss and radar pattern. The simulation results show that the calculated RMSE of the maximum deflection position is 4.45 mm after multi-node fusion. After real-time compensation for the phased array radar, the antenna gain loss is below 0.2 dB, and the beam pointing accuracy is improved.

Key words： phased array; gain loss; phase error; deflection and deformation; multi-node information fusion

Cite this article

CHEN Pu , WU Xuhua , LI Zhenwei , FENG Xintao , ZHANG Yachong , CHENG Yongmei . Phased Array Radar Motion Compensation Based on Distributed IMUs[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(1) : 101 -105 . DOI: 10.15892/j.cnki.djzdxb.2022.01.019

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