TY - GEN
T1 - Iterative Fourier Algorithm and Application Based on Comprehensive Testing Method
AU - Zhang, Runze
AU - Wang, Ting
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - An iterative fast Fourier transform (IFFT) algorithm based on Comprehensive test method (CTM) is proposed and applied to the low sidelobe optimization of the end-fire array antenna pattern. First, for the mutual coupling problem in the end-fire array, a comprehensive test method is used to obtain the coupling compensation matrix, and the coupling compensation matrix is incorporated into the IFFT algorithm, so that the algorithm considering the mutual coupling effect meets the principle of far-field pattern multiplication again. Secondly, design an end-fire antenna unit structure, based on this unit to form a 64-element end-fire phased array, simulation and comparison of genetic algorithm and CTM-IFFT algorithm to optimize the effect of low side lobes of the pattern. The simulation results show that in the scanning range of 0° to 90°, the array pattern can achieve low sidelobe effect after optimization by CTM-IFFT algorithm, and it takes less time than the genetic optimization algorithm.
AB - An iterative fast Fourier transform (IFFT) algorithm based on Comprehensive test method (CTM) is proposed and applied to the low sidelobe optimization of the end-fire array antenna pattern. First, for the mutual coupling problem in the end-fire array, a comprehensive test method is used to obtain the coupling compensation matrix, and the coupling compensation matrix is incorporated into the IFFT algorithm, so that the algorithm considering the mutual coupling effect meets the principle of far-field pattern multiplication again. Secondly, design an end-fire antenna unit structure, based on this unit to form a 64-element end-fire phased array, simulation and comparison of genetic algorithm and CTM-IFFT algorithm to optimize the effect of low side lobes of the pattern. The simulation results show that in the scanning range of 0° to 90°, the array pattern can achieve low sidelobe effect after optimization by CTM-IFFT algorithm, and it takes less time than the genetic optimization algorithm.
KW - IFFT
KW - comprehensive test method
KW - coupling compensation matrix
KW - end-fire array
KW - low sidelobe optimization
UR - http://www.scopus.com/inward/record.url?scp=85126892428&partnerID=8YFLogxK
U2 - 10.1109/ICIBA52610.2021.9688108
DO - 10.1109/ICIBA52610.2021.9688108
M3 - Conference contribution
AN - SCOPUS:85126892428
T3 - Proceedings of 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021
SP - 716
EP - 720
BT - Proceedings of 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021
A2 - Xu, Bing
A2 - Mou, Kefen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021
Y2 - 17 December 2021 through 19 December 2021
ER -