Antenna array synthesis based on pre‐process coding neural network. Issue 2 (1st January 2019)

• Record Type: Journal Article
• Authors: Zhao, Zhonghui; Zhao, Huiling; Zheng, Mingxuan
• Is Part Of: Electronics letters. Volume 55:Issue 2(2019)
• Page Start: 67
• Page End: 68
• Publication Date: 2019-01-01
• Subjects: backpropagation -- neural nets -- antenna arrays -- linear antenna arrays -- electrical engineering computing; antenna array synthesis -- pre‐process coding neural network -- back propagation neural network -- synthesis process -- pre‐processing -- post‐processing -- interference directions -- desired signal direction -- convex array synthesis model -- nine‐element -- 11‐element linear array synthesis -- synthesis results; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2018.7085
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Antenna array synthesis based on the back propagation neural network is proposed in this Letter. The synthesis process is divided into three steps: pre‐processing, training, and post‐processing. In the pre‐processing, the interference directions and desired signal direction are coded so as to synthesise an arbitrary number of interferences. The back propagation neural network is unified to emulate the convex array synthesis model. To verify the performance of the network, the nine‐element and 11‐element linear array synthesis based on the neural network is realised and tested. Synthesis results show that the proposed method gives accurate approximation and have the good generalisation ability.