Resonator-Loaded Multi-Band Microstrip Slot Antennas With Bidirectional Radiation Patterns

Qian, Jianfeng; Chen, Fu‐Chang; Xiang, Kai‐Ran; Chu, Qing‐Xin

doi:10.1109/tap.2019.2927621

Cited by 38 publications

(20 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous work, we proposed a resonator-loaded multi-band microstrip slot antenna [27], which will be used as a building block in this paper. Fig.…”

Section: Multi-band Slot Antennasmentioning

confidence: 99%

Design of Integrated Duplexing and Multi-Band Filtering Slot Antennas

2020

Self Cite

View full text Add to dashboard Cite

In this paper, a duplexing antenna and two multi-band filtering antennas using resonator loaded slot are presented. The loaded slot can be flexibly designed as a dual-band or a tri-band antenna by changing the number of the loaded resonator. The operating frequencies of the slot antenna can be easily controlled through tuning the lengths and positions of the loaded elements. By integrating the multi-band antenna and the multi-mode resonator, duplexing and filtering antennas can be realized. The duplexing antenna consists of two single-mode resonators, a dual-mode stub-loaded resonator as the junction resonator and a dual-band slot antenna. The dual-band and tri-band filtering antennas each contains a dualmode resonator or a tri-mode resonator, radiating through resonator loaded slot antenna. Since the slot is the only radiation element, all the operating bands of the three antennas show good bi-directional radiation patterns. For validation, all of the antennas are designed, manufactured and measured. INDEX TERMS Duplexing antenna, filtering antenna, multi-band, slot antenna.

show abstract

“…In our previous work, we proposed a resonator-loaded multi-band microstrip slot antenna [27], which will be used as a building block in this paper. Fig.…”

Section: Multi-band Slot Antennasmentioning

confidence: 99%

Design of Integrated Duplexing and Multi-Band Filtering Slot Antennas

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Design of modern antenna structures faces several serious challenges. These arise from the necessity of satisfying stringent requirements pertinent to electrical and field characteristics (e.g., broadband operation [1], pattern stability [2], circular polarization [3]), implementation of various functionalities (e.g., multi-band operation [4], band notches [5], pattern diversity [6]), demands pertinent to emerging application areas (5G [7], internet of things [8]), but also small physical size [9], [10], critical for wearable [11] or implantable devices [12]. A fulfilment of such demands leads to the development of topologically complex antenna structures described by a large number of geometry parameters [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Fast Multi-Objective Optimization of Antenna Structures by Means of Data-Driven Surrogates and Dimensionality Reduction

Koziel

Pietrenko‐Dabrowska

2020

IEEE Access

View full text Add to dashboard Cite

Design of contemporary antenna structures needs to account for several and often conflicting objectives. These are pertinent to both electrical and field properties of the antenna but also its geometry (e.g., footprint minimization). For practical reasons, especially to facilitate efficient optimization, single-objective formulations are most often employed, through either a priori preference articulation, objective aggregation, or casting all but one (primary) objective into constraints. Notwithstanding, the knowledge of the best possible design trade-offs provides a more comprehensive insight into the properties of the antenna structure at hand. Genuine multi-objective optimization is a proper way of acquiring such data, typically rendered in the form of a Pareto set that represents the mentioned trade-off solutions. In antenna design, the fundamental challenge is high computational cost of multi-objective optimization, normally carried out using populationbased metaheuristic algorithms. In most practical cases, the use of reliable, yet costly, full-wave electromagnetic models is imperative to ensure evaluation reliability, which makes conventional multiobjective optimization procedures prohibitively expensive. The employment of fast surrogates (or metamodels) can alleviate these difficulties, yet, construction of metamodels faces considerable challenges by itself, mostly related to the curse of dimensionality. This work proposes a novel surrogate-assisted approach to multi-objective optimization, where the data-driven model is only rendered in a small region spanned by the selected principal components of the extreme Pareto-optimal design set obtained using local search routines. The region is limited in terms of parameter ranges but also dimensionality, yet contains the majority of Pareto front, therefore surrogate construction therein does not incur considerable costs. The typical cost of identifying the Pareto set is just a few hundred of full-wave analyses of the antenna under design. Our technique is validated using two antenna examples (a planar Yagi and an ultra-wideband monopole antenna) and favorably compared to state-of-the-art surrogate-assisted multi-objective optimization methods. INDEX TERMS Antenna design; multi-objective optimization; surrogate modeling; domain confinement; principal components; dimensionality reduction.

show abstract

“…mutual coupling within antenna arrays [6] or MIMO systems [7], etc.). The former is a consequence of growing demands on antenna performance dictated by modern applications (e.g., 5G technology [8], medical imaging [9], internet of things (IoT) [10]) and functionality requirements (e.g., multi-band operation [11], circular polarization [12], pattern diversity [13]). In many cases, a reduction of the antenna footprint is also of concern, e.g., for wearable [14] and implantable devices [15].…”

Section: Introductionmentioning

confidence: 99%

Cost-Efficient Bi-Layer Modeling of Antenna Input Characteristics Using Gradient Kriging Surrogates

2020

View full text Add to dashboard Cite

Over the recent years, surrogate modeling has been playing an increasing role in the design of antenna structures. The main incentive is to mitigate the issues related to high cost of electromagnetic (EM)based procedures. Among the various techniques, approximation surrogates are the most popular ones due to their flexibility and easy access. Notwithstanding, data-driven modeling of antenna characteristics is associated with serious practical issues, the primary one being the curse of dimensionality, particularly troublesome due to typically high nonlinearity of antenna responses. This limits applicability of conventional surrogates to simple structures described by a few parameters within narrow ranges thereof, which is grossly insufficient from the point of view of design utility. Many of these issues can be alleviated by the recently proposed constrained modeling techniques that restrict the surrogate domain to regions containing highquality designs with respect to the relevant performance figures, which are identified using the pre-optimized reference designs at an extra computational effort. This paper proposes a methodology based on gradientenhanced kriging (GEK). It enables a considerable reduction of the number of reference points required to construct the inverse surrogate (employed in surrogate model definition) by incorporating the sensitivity data into the nested kriging framework. Using two antenna examples, it is demonstrated to yield significant savings in terms of the surrogate model setup cost as compared to both conventional modeling methods and the original nested kriging. INDEX TERMS Antenna modeling; surrogate modeling; two-stage modeling; gradient kriging; domain confinement; simulation-driven design; design optimization.

show abstract

Resonator-Loaded Multi-Band Microstrip Slot Antennas With Bidirectional Radiation Patterns

Cited by 38 publications

References 27 publications

Design of Integrated Duplexing and Multi-Band Filtering Slot Antennas

Design of Integrated Duplexing and Multi-Band Filtering Slot Antennas

Fast Multi-Objective Optimization of Antenna Structures by Means of Data-Driven Surrogates and Dimensionality Reduction

Cost-Efficient Bi-Layer Modeling of Antenna Input Characteristics Using Gradient Kriging Surrogates

Contact Info

Product

Resources

About