Small-Size Broadband Coding Metasurface for RCS Reduction Based on Particle Swarm Optimization Algorithm

被引:26
|
作者
Hao, Honggang [1 ]
Du, Shimiao [1 ]
Zhang, Ting [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Coll Photoelect Engn, Chongqing 400065, Peoples R China
来源
PROGRESS IN ELECTROMAGNETICS RESEARCH M | 2019年 / 81卷
关键词
Coding sequences - Far-field scattering - Measured results - Metal plates - Metasurface - Particle swarm optimization algorithm - Radar cross section reduction - Rcs reductions;
D O I
10.2528/PIERM19040905
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Radar cross section (RCS) reduction technology has great significance in stealth and other fields. A PSO-FSP algorithm is proposed based on the particle swarm optimization algorithm and the far-field scattering characteristics of coding metasurface to obtain the optimized coding sequence for RCS reduction. According to the principle of coding metamaterial, a 1 bit cell structure is designed. Therefore, a coding metasurface is constructed by arranging the unit cells based on the optimized coding sequence. Simulation results show that, in the case of vertical incidence, compared with metal plates of the same size, the metasurface can achieve more than 10dB of RCS reduction within the broadband range from 15 GHz to 35 GHz, and the maximum reduction can reach 36 dB. The proposed coding metasurface has been successfully fabricated and measured, and there is a good agreement between simulated and measured results.
引用
收藏
页码:97 / 105
页数:9
相关论文
共 50 条
  • [21] The Particle Swarm Optimization based on the Genetic Algorithm
    Li, Li
    Chen, Kun
    Hu, Haibo
    2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 305 - 308
  • [22] An Algorithm Based on the Improved Particle Swarm Optimization
    Ge, Ri-Bo
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014), 2014, 114 : 176 - 179
  • [23] Particle Swarm Optimization Algorithm Based on Two Swarm Evolution
    Wang Li
    Zhang Jianfeng
    Li Xin
    Sun Guoqiang
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1200 - 1204
  • [24] Ultra-broadband absorber based on metamaterial resonators utilizing particle swarm optimization algorithm
    Mokhtari, Abolfazl
    Rezaei, Mir Hamid
    Zarifkar, Abbas
    PHOTONICS AND NANOSTRUCTURES-FUNDAMENTALS AND APPLICATIONS, 2023, 53
  • [25] Arbitrary Customization of Absorption Characteristic of Resonant Metasurface Based on Neural Network and Particle Swarm Optimization Algorithm
    Zhu, Wenjing
    Zhang, Yin
    2024 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY, ICMMT, 2024,
  • [26] Optimization Algorithm based on Artificial Life Algorithm and Particle Swarm Optimization
    Gu, Yun-li
    Xu, Xin
    Du, Jie
    Qian, Huan-yan
    ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 3, PROCEEDINGS: APPLIED MATHEMATICS, SYSTEM MODELLING AND CONTROL, 2009, : 173 - +
  • [27] A Tunable Particle Swarm Size Optimization Algorithm for Feature Selection
    Mallenahalli, Naresh
    Sarma, T. Hitendra
    2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2018, : 134 - 140
  • [28] Non-resonant broadband RCS reduction based on the patch distribution of a phase gradient metasurface
    Li, Fengan
    Huang, Jian
    APPLIED OPTICS, 2023, 62 (03) : 720 - 724
  • [29] Dual-broadband flexible metasurface based on the staggered triangular checkerboard layout for RCS reduction
    Fu, Changfeng
    Zhang, Lei
    Li, Na
    Jin, Yan
    Zhang, Yicheng
    Ju, Jiaxin
    Li, Zhengye
    Han, Lianfu
    OPTICS COMMUNICATIONS, 2024, 558
  • [30] Metasurface-Based Method for Broadband RCS Reduction of Dihedral Corner Reflectors With Multiple Bounces
    Modi, Anuj Y.
    Alyahya, Meshaal A.
    Balanis, Constantine A.
    Birtcher, Craig R.
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2020, 68 (03) : 1436 - 1447