Nature-Inspired Optimization of Aperiodic Metasurfaces for Antenna Beam-shaping

被引:0
|
作者
Hoorfar, Ahinad [1 ]
Israel, Christopher [1 ]
机构
[1] Villanova Univ, ECE Dept, Antenna Res Lab, Villanova, PA 19085 USA
关键词
partially reflective surface; metasurface; aperiodic array; antenna beam-shaping; evolutionary optimization; GENETIC ALGORITHMS;
D O I
10.1109/apusncursinrsm.2019.8888865
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
Partially Reflective Surfaces (PRS) are highly reflective metasurfaces that are well-suited in the design of antennas for beamforming and high gain wireless applications, particularly in the mm-wave regime. Periodic PRS, made of uniformly spaced elements, however, limits the design of the antenna with regard to the trade-off between gain, sidelobe level, or achieving a prescribed arbitrary pattern. Aperiodic PRS, made of non-uniformly spaced inclusions provide more degrees of freedom in antenna synthesis and design. In this work we investigate optimal design of aperiodic PRS for various antenna functionality using several nature inspired global optimization techniques. Numerical examples and experimental verification of a prototype for achieving a shaped beam pattern is given.
引用
收藏
页码:1035 / 1036
页数:2
相关论文
共 50 条
  • [41] Eel and grouper optimizer: a nature-inspired optimization algorithm
    Mohammadzadeh, Ali
    Mirjalili, Seyedali
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (09): : 12745 - 12786
  • [42] Nature-inspired optimization algorithms: Challenges and open problems
    Yang, Xin-She
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 46
  • [43] Harmony Search and Nature-Inspired Algorithms for Engineering Optimization
    Geem, Zong Woo
    Yang, Xin-She
    Tseng, Chung-Li
    [J]. JOURNAL OF APPLIED MATHEMATICS, 2013,
  • [44] Roosters Algorithm: A Novel Nature-Inspired Optimization Algorithm
    Gencal, Mashar
    Oral, Mustafa
    [J]. Computer Systems Science and Engineering, 2021, 42 (02): : 727 - 737
  • [45] AFOX: a new adaptive nature-inspired optimization algorithm
    Hosam ALRahhal
    Razan Jamous
    [J]. Artificial Intelligence Review, 2023, 56 : 15523 - 15566
  • [46] Nature-Inspired Optimization Techniques in VANETs and FANETs: A Survey
    Kaur, Parampreet
    Singh, Ashima
    [J]. ADVANCED COMPUTATIONAL AND COMMUNICATION PARADIGMS, VOL 2, 2018, 706 : 651 - 663
  • [47] Water wave optimization: A new nature-inspired metaheuristic
    Zheng, Yu-Jun
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2015, 55 : 1 - 11
  • [48] Analyzing energy consumption of nature-inspired optimization algorithms
    Mohammad Newaj Jamil
    Ah-Lian Kor
    [J]. Green Technology, Resilience, and Sustainability, 2 (1):
  • [49] Editorial: special issue on parallel nature-inspired optimization
    Danoy, Gregoire
    [J]. JOURNAL OF SUPERCOMPUTING, 2013, 63 (03): : 737 - 739
  • [50] Nature-inspired approach: An enhanced whale optimization algorithm for global optimization
    Yan, Zheping
    Zhang, Jinzhong
    Zeng, Jia
    Tang, Jialing
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2021, 185 : 17 - 46