An Eigenmode Correlation-Based Algorithm for Approaching Antenna Optimal Currents With Multiple Feeds

被引:0
|
作者
Zhang, Wei-Quan [1 ]
Zhang, Guo-Yang [1 ]
Wang, Bing-Zhong [1 ]
Xiong, Jiang [1 ]
机构
[1] Univ Elect Sci & Technol China, Inst Appl Phys, Computat Electromagnet Lab, Chengdu, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
antenna optimization; electrically small antennas; generalized eigenvalue problems; method of moments; Q factor; RADIATION-Q; LOWER BOUNDS; OPTIMIZATION; IMPEDANCE; BANDWIDTH; ENERGIES; LIMITS; MODES;
D O I
10.1029/2019RS006957
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
A feeding algorithm has been proposed for the excitation of the optimal electric current of Rayleigh quotient form optimization problems. Modal weighting coefficients of the corresponding generalized eigenvalue problem are calculated to form the correlation information between the desired and all other unwanted modes. Based on this information, multiple feeds are arranged to approximate the desired current distributions. The eigencurrent distribution is also utilized for some shape modification to the radiator for a possible feed number reduction. Three canonical optimization problems for electrically small antennas, minimum Q, maximum G/Q, and maximum G are studied and discussed. Several numerical examples with a certain arbitrary shape and electrical size are given. With the proposed feeding algorithm, calculated and simulated current distributions and performance indices are close to the theoretical optimum solution. Finally, a practical feeding network design for a classic characteristic mode problem is shown as a validation.
引用
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页数:15
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