首页|基于深度学习的微波天线阵列波束形成与指向性控制优化分析

基于深度学习的微波天线阵列波束形成与指向性控制优化分析

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阐述通过深度学习模型对微波天线阵列进行训练,实现对波束形成和指向性控制的智能优化.通过实验数据的验证和评估,与传统方法相比,基于深度学习的方法在性能表现上具有明显优势.
Analysis of Deep Learning Based Microwave Antenna Array Beamforming and Directional Control Optimization
This paper describes the intelligent optimization of beamforming and directional control through training microwave antenna arrays using deep learning models.Through experimental data verification and evaluation,it has been found that deep learning based methods have significant advantages in performance compared to traditional methods.

deep learningmicrowave antenna arraybeamformingdirectional control

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中国电子科技集团公司第五十一研究所,上海 201802

深度学习 微波天线阵列 波束形成 指向性控制

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(7)