Metamaterial Loaded Nine High Gain Vivaldi Antennas Array for Microwave Breast Imaging Application

Islam, Tarikul; Islam, Mohammad Tariqul; Samsuzzaman, M.; Arshad, Haslina; Rmili, Hatem

doi:10.1109/access.2020.3045458

Cited by 21 publications

(11 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Metamaterial superstrate is added to a simple microstrip patch antenna to improve the gain of the antenna 11 . Metamaterial loaded Vivaldi antenna with its high gain capability can be employed for imaging applications 12 . Metamaterial loaded antennas are used in designing wearable devices 13 , 14 .…”

Section: Introductionmentioning

confidence: 99%

Machine learning assisted metamaterial-based reconfigurable antenna for low-cost portable electronic devices

Patel

Surve

Katkar

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Antenna design has evolved from bulkier to small portable designs but there is a need for smarter antenna design using machine learning algorithms that can meet today’s high growing demand for smart and fast devices. Here in this research, main focus is on developing smart antenna design using machine learning applicable in 5G mobile applications and portable Wi-Fi, Wi-MAX, and WLAN applications. Our design is based on the metamaterial concept where the patch is truncated and etched with a split ring resonator (SRR). The high gain requirement is met by adding metamaterial superstrates having thin wires (TW) and SRRs. The reconfigurability is achieved by adding three PIN diode switches. Multiple designs have been observed by adding superstrate layers ranging from one layer to four layers with interchanging TWs and SRRs. The TW metamaterial superstrate design with two layers is giving the best performance in gain, bandwidth, and the number of bands. The design is optimized by changing the path’s physical parameters. To shrink simulation time, Extra Tree Regression based machine learning model is used to learn the behavior of the antenna and predict the reflectance value for a wide range of frequencies. Experimental results prove that the use of the Extra Tree Regression based model for simulation of antenna design can cut the simulation time, resource requirements by 80%.

show abstract

Section: Introductionmentioning

confidence: 99%

Machine learning assisted metamaterial-based reconfigurable antenna for low-cost portable electronic devices

Patel

Surve

Katkar

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…25 Furthermore, a Vivaldi antenna with length-tapering rectangular slots and a director, 26 several radius-tapering semicircular slots and a director VA, 27 an AVA with an elliptical director, and curved slots 28 were presented to enhance the radiation characteristics. What's more, the Vivaldi antenna [29][30][31] introduced metamaterials to improve the radiation patterns. In Tang and colleagues, 32,33 a slot correction structure was adopted to obtain a high gain.…”

Section: Introductionmentioning

confidence: 99%

A novel Vivaldi antenna for UWB detection

Wang

Liu

Fan

et al. 2022

Micro & Optical Tech Letters

View full text Add to dashboard Cite

This paper presents a modified structure of the Vivaldi antenna based on an FR4 dielectric substrate of 0.8 mm thickness and 110 mm × 96 mm dimensions for ultra-wideband (UWB) detection systems. The modified Vivaldi antenna has two major novelties. (1) Bottle-shaped slots are etched on both sides of the classic Vivaldi antenna to extend the surface current path length and concentrate electromagnetic energy. ( 2) Rectangular metal strips are implemented in front of the exponential slot to guide the UWB radiation waveform in the desired direction. The modified Vivaldi antenna is evaluated using the CST 2020 software and measured using the vector network analyzer ranging from 3 to 8 GHz. The obtained results show that a maximum peak gain of nearly 9 dBi at 4 GHz can be achieved, the radiation efficiency is improved to 80%, the main lobe level is increased, and the side lobe level is decreased. To further demonstrate the performance of the proposed Vivaldi antenna, a UWB imaging experiment is designed. The imaging results show that the imaging system using the proposed antennas can obtain images with good resolution, which indicates that the antenna has good radiation characteristics and can be used for UWB detection applications.

show abstract

“…In recent years, the focus on microwave imaging technology in medical applications has increased significantly because of its non-invasive and non-destructive diagnosis ability. In this area, these techniques are used to visualize malignant cells in the early stage, breast tumors, and brain tissue 1 , 15 , 16 . During the past few decades, different microwave imaging technology has developed to observe the structure of the electromagnetic field.…”

Section: Introductionmentioning

confidence: 99%

3D visualization of microwave electric and magnetic fields by using a metasurface-based indicator

Baghdasaryan

Babajanyan

Parsamyan

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Visualizations of the microwave electric and magnetic near-field distributions of radio-frequency (RF) filters were performed using the technique of thermoelastic optical indicator microscopy (TEOIM). New optical indicators based on periodic dielectric-metal structures were designed for electric field visualization. Depending on the structure orientation, such metasurface-based indicators allow separately visualization of the Ex and Ey components of the in-plane electric field. Numerical simulations were conducted to examine the working principle of the designed indicator structures, and the results were compared to the experimental, showing good agreement. In addition, the 3D visualization of the microwave near-field distribution was built, to show the field intensity and distribution dependencies on the distance from the RF filter.

show abstract

Metamaterial Loaded Nine High Gain Vivaldi Antennas Array for Microwave Breast Imaging Application

Cited by 21 publications

References 51 publications

Machine learning assisted metamaterial-based reconfigurable antenna for low-cost portable electronic devices

Machine learning assisted metamaterial-based reconfigurable antenna for low-cost portable electronic devices

A novel Vivaldi antenna for UWB detection

3D visualization of microwave electric and magnetic fields by using a metasurface-based indicator

Contact Info

Product

Resources

About