Size reduction of microstrip antennas

2001 ◽  
Vol 37 (21) ◽  
pp. 1274 ◽  
Author(s):  
C.S. Lee ◽  
K.-H. Tseng
Keyword(s):  
Microstrip Antennas ◽  
Size Reduction

scholarly journals Patch size reduction of rectangular microstrip antennas by means of a cuboid ridge

2015 ◽  
Vol 9 (15) ◽  
pp. 1727-1732 ◽  
Author(s):  
Alireza Motevasselian ◽  
William G. Whittow
Keyword(s):  
Patch Size ◽  
Microstrip Antennas ◽  
Size Reduction

scholarly journals Electrical Size Reduction of Microstrip Antennas by Using Defected Ground Structures Composed of Complementary Split Ring Resonator

2021 ◽  
Vol 10 (1) ◽  
pp. 62-69
Author(s):  
E. M. Kucukoner ◽  
A. Cinar ◽  
U. Kose ◽  
E. Ekmekci
Keyword(s):  
Ring Resonator ◽  
Good Alternative ◽  
Split Ring Resonator ◽  
Microstrip Antennas ◽  
Size Reduction ◽  
Split Ring ◽  
Complementary Split Ring Resonator ◽  
Resonance Frequencies ◽  
Defected Ground Structures ◽  
Ground Structures

In this study the effects of using defected ground structures (DGS) composed of a complementary split ring resonator (CSRR) and CSRR with dumbbell (CSRR-D) for rectangular microstrip antennas are investigated. On this aim, two different antennas, which are Antenna B having CSRR etched DGS and Antenna C having CSRR-D etched DGS are designed and fabricated in comparison with the ordinary rectangular patch antenna, which is Antenna A. In both Antennas B and C, CSRR structures are etched in the same position of the ground planes. On the other hand, another ordinary microstrip antenna, called Antenna D, is designed at resonance frequency of Antenna C. For the characterization; resonance frequencies, voltage standing wave ratios, percentage bandwidths, gains, ka values and gain radiation patterns are investigated both in simulations and experiments. The numerical analyses show that 29.39% and 44.49% electrical size reduction (ESR) ratios are obtained for Antenna B and Antenna C, respectively in comparison to Antenna A. The experimental results verify the ESR ratios with 29.15% and 44.94%. Supporting, Antenna C promises 68.12% physical size reduction (PSR) as it is compared with Antenna D. These results reveal that Antenna C is a good alternative for DGS based microstrip electrically small antennas.

scholarly journals Improved-Efficacy EM-Based Antenna Miniaturization by Multi-Fidelity Simulations and Objective Function Adaptation

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 403
Author(s):  
Marzieh Mahrokh ◽  
Slawomir Koziel
Keyword(s):  
Penalty Function ◽  
Field Performance ◽  
Simulation Models ◽  
Microstrip Antennas ◽  
Size Reduction ◽  
Function Approach ◽  
Optimization Process ◽  
Antenna Miniaturization ◽  
Fidelity Model ◽  
Penalty Function Approach

The growing demand for the integration of surface mount design (SMD) antennas into miniaturized electronic devices has imposed increasing limitations on the structure dimensions. Examples include embedded antennas in applications such as on-board devices, picosatellites, 5G communications, or implantable and wearable devices. The demands for size reduction while ensuring a satisfactory level of electrical and field performance can be managed through constrained numerical optimization. The reliability of optimization-based size reduction requires utilization of full-wave electromagnetic (EM) analysis, which entails significant computational costs. This can be alleviated by incorporating surrogate modeling techniques, adjoint sensitivities, or the employment of sparse sensitivity updates. An alternative is the incorporation of multi-fidelity simulation models, normally limited to two levels, low and high resolution. This paper proposes a novel algorithm for accelerated antenna miniaturization, featuring a continuous adjustment of the simulation model fidelity in the course of the optimization process. The model resolution is determined by factors related to violation of the design constraints as well as the convergence status of the algorithm. The algorithm utilizes the lowest-fidelity model for the early stages of the optimization process; it is gradually refined towards the highest-fidelity model upon approaching convergence, and the constraint violations improve towards the preset tolerance threshold. At the same time, a penalty function approach with adaptively adjusted coefficients is applied to enable the precise control of constraints, and to increase the achievable miniaturization rates. The presented procedure has been validated using five microstrip antennas, including three broadband, and two circularly polarized structures. The obtained results corroborate the relevance of the implemented mechanisms from the point of view of improving the average computational efficiency of the optimization process by 43% as compared to the single-fidelity adaptive penalty function approach. Furthermore, the presented methodology demonstrates a performance that is equivalent or even superior to its single-fidelity counterpart in terms of an average constraint violation of 0.01 dB (compared to 0.03 dB for the reference), and an average size reduction of 25% as compared to 25.6%.

scholarly journals Cost-Efficient EM-Driven Size Reduction of Antenna Structures by Multi-Fidelity Simulation Models

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1536
Author(s):  
Anna Pietrenko-Dabrowska ◽  
Slawomir Koziel
Keyword(s):  
Impedance Matching ◽  
Trust Region ◽  
Simulation Models ◽  
Axial Ratio ◽  
Microstrip Antennas ◽  
Size Reduction ◽  
Model Management ◽  
Feasible Region ◽  
High Fidelity ◽  
Fidelity Model

Design of antenna systems for emerging application areas such as the Internet of Things (IoT), fifth generation wireless communications (5G), or remote sensing, is a challenging endeavor. In addition to meeting stringent performance specifications concerning electrical and field properties, the structure has to maintain small physical dimensions. The latter normally requires searching for trade-off solutions because miniaturization has detrimental effects on antenna characteristics, including the impedance matching, gain, efficiency, or axial ratio bandwidth. Furthermore, explicit size reduction is more demanding than optimization with respect to other figures of merit. On the one hand, it is a constrained task with acceptance thresholds set on the bandwidth, gain, etc. On the other hand, optimum solutions are normally located at the boundary of the feasible region, traversing of which is a difficult problem by itself. The necessity of using full-wave electromagnetic (EM) analysis for antenna evaluation only aggravates the problem due to high computational costs associated with numerical optimization algorithms. This paper proposes a procedure for expedited optimization-based miniaturization of antenna structures involving trust-region gradient search and multi-fidelity EM simulations, as well as implicit handling of design constraints using a penalty function approach. The assumed model management scheme is associated with the convergence status of the optimization process with the lowest fidelity model employed at the early stages of the algorithm run and the discretization density of the structure gradually increased to reach the high-fidelity level towards the end of the run. This allows us to achieve a considerable computational speedup without compromising the reliability. Our methodology is demonstrated using two broadband microstrip antennas. The obtained CPU savings exceed seventy percent as compared to the reference procedure involving high-fidelity model only.

A Cross Polarization Suppressed Sequential Array with L-Probe Fed Rectangular Microstrip Antennas

2011 ◽  
Vol E94-B (9) ◽  
pp. 2653-2655
Author(s):  
Kazuki IKEDA ◽  
Keigo SATO ◽  
Ken-ichi KAGOSHIMA ◽  
Shigeki OBOTE ◽  
Atsushi TOMIKI ◽  
...  
Keyword(s):  
Microstrip Antennas ◽  
Cross Polarization
Sign in / Sign up

Export Citation Format

Share Document