A Planar Array Synthesis Method Based on Deep Learning and Radiation Pattern Superposition Method

A dual-branched convolutional neural network (CNN) integrated with hybrid training criteria is proposed for real-time multibeam synthesis in planar uniform antenna arrays. For higher speed in dataset generation, the pattern superposition method is introduced in this article, which significantly impr...

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Vydané v:	IEEE transactions on antennas and propagation Ročník 73; číslo 8; s. 5265 - 5277
Hlavní autori:	Huang, Jianming, Liu, Rui, Zhang, Naibo, Cui, Yansong, Ren, Weizheng, Guo, Qiuquan, Du, Yanjun, Zhao, Jiayu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Antenna arrays Antenna design Antenna radiation patterns Antennas Approximation Arrays Artificial neural networks Beam steering Beamforming convolutional networks Convolutional neural networks Criteria Deep learning Machine learning Neural networks Optimization Planar arrays Real time Real-time systems Reconfiguration Sidelobe reduction Sidelobes Stochastic processes Synthesis Training
ISSN:	0018-926X, 1558-2221
On-line prístup:	Získať plný text
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