FIELD STATISTICS OF THE CIRCULAR APERTURE ANTENNA FOCUSED AT THE FRESNEL ZONE. PART 1. MEAN FIELD CHARACTERISTICS

2014 ◽  
Vol 73 (17) ◽  
pp. 1503-1531 ◽  
Author(s):  
Ya. S. Shifrin ◽  
V. V. Dolzhikov
2011 ◽  
Vol 10 ◽  
pp. 211-214 ◽  
Author(s):  
Shishan Qi ◽  
Wen Wu ◽  
Da-Gang Fang ◽  
Zhongxiang Shen

2021 ◽  
Vol 36 (3) ◽  
pp. 252-258
Author(s):  
Tarek Sallam ◽  
Ahmed Attiya ◽  
Nada El-Latif

A multiobjective optimization (MOO) technique for a dual-band circularly polarized antenna by using neural networks (NNs) is introduced in this paper. In particular, the optimum antenna dimensions are computed by modeling the problem as a multilayer feed-forward neural network (FFNN), which is two-stage trained with I/O pairs. The FFNN is chosen because of its characteristic of accurate approximation and good generalization. The data for FFNN training is obtained by using HFSS EM simulator by varying different geometrical parameters of the antenna. A two strip-loaded circular aperture antenna is utilized to demonstrate the optimization technique. The target dual bands are 835–865 MHz and 2.3–2.35 GHz.


2011 ◽  
Vol 58 (12) ◽  
pp. 1041-1050
Author(s):  
Xinrong Shi ◽  
Yuan'an Liu ◽  
Fang Liu ◽  
Kaiming Liu ◽  
Gang Xie

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