Abstract
A sparse array synthesis method based on improved wind-driven optimization algorithm (IWDO) and fast Fourier transform (FFT) for the purpose of sidelobe suppression was introduced. First, the uniform linear array was sparse by the FFT algorithm. Then the amplitude excitation weighting of array elements was optimized by IWDO algorithm based on probability factor chaotic map. During the optimization process, the minimum peak sidelobe level was used as the fitness function. By comparing with the simulation results of classic Chebyshev weighting method, the method proposed in this paper has better performance.
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Cheng-Zhang Li
Cheng-zhang Li was born in Yantai, China, in 1996. He received the B.Eng. degrees in communication engineering from Shandong Agricultural University in 2019. He is currently pursuing a M.Eng. in electronics & communications engineering from Nanjing University of Posts and Telecommunications, Nanjing, China. His current research interests include 5G antenna design and array synthesis.
Hai-Ming Li
Hai-ming Li was born in Anhui, China, in 1987. He received the Ph.D. degree in College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. He is currently working as an assistant professor at College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China. His main research interests include the antenna, microwave device and metamaterials.