Open AccessGeneralisation of genetic algorithm and fast Fourier transform for synthesising unequally spaced linear array shaped pattern including coupling effects
Author(s) -
You Pengfei,
Liu Yanhui,
Xu Kaida,
Zhu Chunhui,
Liu Qing Huo
Publication year - 2017
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2016.0773
Subject(s) - fast fourier transform , robustness (evolution) , radiation pattern , algorithm , coupling (piping) , genetic algorithm , fourier transform , antenna (radio) , antenna array , computer science , radar , electronic engineering , acoustics , engineering , mathematics , physics , telecommunications , mathematical analysis , mechanical engineering , biochemistry , chemistry , machine learning , gene
Antenna arrays with shaped patterns have drawn significant attention for their wide applications in radar, sonar and communication systems. The combination of genetic algorithm (GA) and fast Fourier transform (FFT) has been used to synthesise shaped pattern of antenna array's factor without considering coupling effects. In this work, the GA‐FFT method is generalised by integrating with a new virtual active element pattern (AEP) expansion method which approximates each AEP as the radiation pattern by exciting several equally spaced virtual elements surrounding the real element position. The generalised GA‐FFT can be applied for the shaped pattern synthesis of unequally spaced linear arrays including mutual coupling and platform effect. Several synthesis examples with different pattern shapes and different antenna structures are given to demonstrate the effectiveness, accuracy and robustness of the proposed method.