Analysis of Linear Antenna Array for minimum Side Lobe Level, Half Power Beamwidth, and Nulls control using PSO

Rahman, Saeed Ur; Cao, Qunsheng; Ahmed, Muhammad Mansoor; Khalil, Hisham

doi:10.1590/2179-10742017v16i2913

Cited by 44 publications

(36 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The space between the elements should, therefore, be adjusted correctly, i.e. the element spacing should be set to 0.5 λ in order to eliminate the impact of adjacent components [23]. Table 6 summarizes the corporate feed parameters before and after the optimization process.…”

Section: Graphene-based Tuneable Rectangular Microstrip Patch Array Amentioning

confidence: 99%

Simulation and optimization of tuneable microstrip patch antenna for fifth-generation applications based on graphene

Marhoon

Qasem

2020

IJECE

View full text Add to dashboard Cite

Microstrip patch antennas (MPAs) are known largely for their versatility in terms of feasible geometries, making them applicable in many distinct circumstances. In this paper, a graphene-based tuneable single/array rectangular microstrip patch antenna (MPA) utilizing an inset feed technique designed to function in multiple frequency bands are used in a fifth-generation (5G) wireless communications system. The tuneable antenna is used to eliminate the difficulties caused by the narrow bandwidths typically associated with MPAs. The graphene material has a reconfigurable surface conductivity that can be adjusted to function at the required value, thus allowing the required resonance frequency to be selected. The simulated tuneable antenna comprises a copper radiating patch with four graphene strips used for tuning purposes and is designed to cover a wide frequency band. The proposed antenna can be tuned directly by applying a direct current (DC) voltage to the graphene strips, resulting in a variation in the surface impedance of the graphene strips and leading to shifts in the resonance frequency.

show abstract

Section: Graphene-based Tuneable Rectangular Microstrip Patch Array Amentioning

confidence: 99%

Simulation and optimization of tuneable microstrip patch antenna for fifth-generation applications based on graphene

Marhoon

Qasem

2020

IJECE

View full text Add to dashboard Cite

show abstract

“…I N modern wireless communication technology, reconfigurable antennas have wide attention because of their flexibility on the pattern, frequency, or polarization. Especially, the pattern reconfigurable antennas can control the main lobe in a specific direction or place the nulls in the desired direction [1]. In the literature, frequency [2], polarization [3], [4], and radiation pattern [6] reconfigurable has been designed for 5G wireless systems [5].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Switchable EM Absorber and Beam Switchable Radiator

et al. 2020

Self Cite

View full text Add to dashboard Cite

In this research work, a multifunctional metamaterial inspired surface is designed for two different applications, namely, electromagnetic (EM) absorber and radiator with pattern agility. The designed surface consists of periodic arrays of metallic loops and circular patches printed on a thin grounded dielectric slab. Lumped resistors are fixed in the outer ring where the inner patch is connected to the feeding network through metallic vias. Firstly, the basic unit cell of the surface is utilized as a dual-band EM absorber. Secondly, the same surface is utilized as a beam switching radiator. Each unit cell has two switchable feeding points which are connected to a single-pole double-throw (SPDT) switch designed on the bottom layer. The surface is symmetrical therefore the excitation of each unit cell at two feeding ports can produce a phase shift of 180 •. By properly selecting the feeding point of the four elements, the surface can generate sum-beams and difference-beams. The surface exhibit low radar cross section (RCS), high gain, and high efficiency. A prototype of × 4 elements array is manufactured and experimentally verified in an anechoic chamber.

show abstract

“…This is a focus of this paper: Digital switched beamforming using an ANN. Studies involving digital beam/null steering can be found in [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An Artificial Neural Network Approach to Doa Estimation and Switched Beamforming in Rectangular Array Based Smart Antennas

Macharia¹,

Kibet²,

Kihato³

2019

PIER C

View full text Add to dashboard Cite

Switched beamforming using electronic phase shifters is commonplace. Digital switched beamformers offer a premise of better performance than electronic phase shift switched beamformers. It is also worth noting that current unknown signal Direction of Arrival (DoA) estimation methods (commonly MUltiple SIgnal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)) are generally computationally intensive. In this paper, signal DoA estimation and digital switched beamforming using aptly designed Artificial Neural Network (ANN) classifiers are looked into. Initially, signals detected at a rectangular receiving array are mapped onto a DoA through an ANN classifier. A second ANN classifier maps the selected DoA onto an optimal set of beamforming weights leading to an optimal switched beamforming reception pattern. The ANN classifiers' performance in DoA estimation and beamforming is tested over a variety of trials, yielding good results. The designed ANN beamformer premises to yield high-speed and accurate switched beamforming performance, most notably in large array systems. The ANN DoA estimator/beamformer can be easily adapted to nonuniform arrays wherein closed form DoA estimation/beamforming solutions are impractical. MATLAB software environment has been used as the main analysis tool.

show abstract

Analysis of Linear Antenna Array for minimum Side Lobe Level, Half Power Beamwidth, and Nulls control using PSO

Cited by 44 publications

References 22 publications

Simulation and optimization of tuneable microstrip patch antenna for fifth-generation applications based on graphene

Simulation and optimization of tuneable microstrip patch antenna for fifth-generation applications based on graphene

An Integrated Switchable EM Absorber and Beam Switchable Radiator

An Artificial Neural Network Approach to Doa Estimation and Switched Beamforming in Rectangular Array Based Smart Antennas

Contact Info

Product

Resources

About