Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김선우 | - |
dc.date.accessioned | 2019-05-24T04:46:33Z | - |
dc.date.available | 2019-05-24T04:46:33Z | - |
dc.date.issued | 2019-01 | - |
dc.identifier.citation | IEEE ACCESS, v. 7, Page. 17461-17468 | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8630937 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/105950 | - |
dc.description.abstract | This paper proposes a novel iterative algorithm based on a Kernel regression as a suboptimal approach to reliable and efficient antenna optimization. In our approach, the complex and non-linear cost surface calculated from antenna characteristics is fitted into a simple linear model using Kernels, and an argument that minimizes this Kernel regression model is used as a new input to calculate its cost using numerical simulations. This process is repeated by updating coefficients of the Kernel regression model with new entries until meeting the stopping criteria. At every iteration, existing inputs are partitioned into a limited number of clusters to reduce the computational time and resources and to prevent unexpected over-weighted situations. The proposed approach is validated for the Rastrigins function as well as a real engineering problem using an antipodal Vivaldi antenna in comparison with a genetic algorithm. Furthermore, we explore the most appropriate Kernel that minimizes the least-square error when fitting the antenna cost surface. The results demonstrate that the proposed process is suitable to be used in antenna design problems as a reliable approach with a fast convergence time. | en_US |
dc.description.sponsorship | This work was supported in part by a grant from the Transportation Logistics Research Program funded by the Ministry of Land, Infrastructure and Transport of Korean Government, under Grant 18TLRP-C113269-03. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Antennas | en_US |
dc.subject | optimization | en_US |
dc.subject | Kernel regression | en_US |
dc.subject | cost surface | en_US |
dc.title | A Suboptimal Approach to Antenna Design Problem With Kernel Regression | en_US |
dc.type | Article | en_US |
dc.relation.volume | 7 | - |
dc.identifier.doi | 10.1109/ACCESS.2019.2896658 | - |
dc.relation.page | 17461-17468 | - |
dc.relation.journal | IEEE ACCESS | - |
dc.contributor.googleauthor | Lee, Sangwoo | - |
dc.contributor.googleauthor | Hur, Jun | - |
dc.contributor.googleauthor | Heo, Moon-Beom | - |
dc.contributor.googleauthor | Kim, Sunwoo | - |
dc.contributor.googleauthor | Choo, Hosung | - |
dc.contributor.googleauthor | Byun, Gangil | - |
dc.relation.code | 2019036307 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | remero | - |
dc.identifier.orcid | http://orcid.org/0000-0002-7055-6587 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.