Research on Taylor Weight Optimization Algorithm Based on Circular Conformal

In the work of most existing conformal array beamforming optimization algorithms, the traditional Taylor optimization algorithm of linear array is usually adopted, which results in that the antenna performance can not reach optimal level. In another case, a conformal array optimization algorithm whi...

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Bibliographic Details
Published in2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) Vol. 2; pp. 421 - 425
Main Authors Zhao, Ke, Liu, Lizhe, Mei, Lirong
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.12.2021
Subjects
Array signal processing
Arrays
Artificial intelligence
beamforming
Big Data
circular conformal
Conferences
geometric characteristic
Information technology
Linear antenna arrays
project
Taylor optimization
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Summary:In the work of most existing conformal array beamforming optimization algorithms, the traditional Taylor optimization algorithm of linear array is usually adopted, which results in that the antenna performance can not reach optimal level. In another case, a conformal array optimization algorithm which only considering horizontal factors increases the sidelobe level (SLL) and decreases the mainlobe gain. In view of the wide application of conformal arrays, this letter illustrates a Taylor optimization algorithm based on circular conformal array. Firstly, the circular conformal array can be divided into subarrays according to its geometric characteristics. Secondly, project the elements in the mapped molecular region, obtain the coordinate matrix of non-uniform distribution in the horizontal direction, then normalize the corresponding current excitation ratio in the vertical direction. Thirdly, combining these two factors, Taylor weighting coefficient suitable for circular conformal array is obtained. Finally, the simulation performance under different sidelobe level values is observed.
DOI:10.1109/ICIBA52610.2021.9688168