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An Eigenmode Correlation‐Based Algorithm for Approaching Antenna Optimal Currents With Multiple Feeds
Author(s) -
Zhang WeiQuan,
Zhang GuoYang,
Wang BingZhong,
Xiong Jiang
Publication year - 2020
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2019rs006957
Subject(s) - weighting , mathematics , rayleigh quotient , algorithm , current (fluid) , reduction (mathematics) , eigenvalues and eigenvectors , antenna (radio) , modal , normal mode , mode (computer interface) , radiator (engine cooling) , mathematical analysis , computer science , acoustics , geometry , vibration , physics , telecommunications , optics , chemistry , quantum mechanics , polymer chemistry , thermodynamics , operating system
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.