Dual Band Triangular Microstrip Antenna for WLAN/WiMAX Applications

Arulaalan, M.; Nithyanandan, L.

doi:10.15866/irecap.v6i3.9202

Cited by 5 publications

(10 citation statements)

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“…In this study, we suggest a UWB antenna that operates in the [2]- [18] GHz band and has an efficiency of more than 70% and a gain of between 2 and 6.5 dB. The measurements of the reflection parameter S11 at the antenna's input are found to be in excellent agreement with the calculations.…”

Section: Introduction (Heading 1)supporting

confidence: 61%

Designing A Metamaterial Inspired MIMO Antenna For Multi-Band Application

2022

MJARET

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creating a novel MIMO antenna with two elements that can operate in different bands. This study's design of an ultra-wideband and multiple band antenna was suggested along with an analysis of its characteristics. To accomplish the downsizing and performance of the two antennas, an isolation approach using well-designed metamaterials is proposed. The metamaterials employed significantly minimise the coupling of multi-antennas. Split-ring resonator (SRR) materials have been used to the antenna patch plane, which has improved the antenna's performance in terms of S parameters, multiplexing effectiveness, diversity gain (DG), radiation characteristics, and envelope correlation coefficient (ECC). To reduce the isolation between dual components, a novel decoupling structure has been studied and developed between the two antennas. The transmission rate is raised as a result. This antenna system has benefits including reduced weight and thickness, which makes it easier to integrate it into a receiver designed specifically for mobile communication. Using Computer Simulation Technology (CST), the antenna was tuned for 2-18 GHz with a permittivity of 2.2 and a thickness of 1.57 mm on a FR-4 substrate.

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Section: Introduction (Heading 1)supporting

confidence: 61%

Designing A Metamaterial Inspired MIMO Antenna For Multi-Band Application

2022

MJARET

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“…Thereby, a high‐resolution denoised image is not produced. Results of previous methods organized by Dong et al 26,27 and Arulaalan and Nithyanandan 30 as shown in the first row of Figure 3B, a still Poisson noisy component present in the denoised image, it is visible after applying transmission mapping on the denoise image where the background regions are covered with sandy particle especially between building and sea, associated in the existing methods of References 26, 30, and 31.…”

Section: Resultsmentioning

confidence: 87%

“…“City on top camera view.” (A) High‐resolution image with noisy content (Poisson noise). The resultant denoise images (first row) and their equivalent transmission mapping (second row) produced by the methods in References 26, 27, and 30…”

Section: Resultsmentioning

confidence: 99%

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Addressing image and Poisson noise deconvolution problem using deep learning approaches

Syed

Upreti²,

Nasir

et al. 2022

Computational Intelligence

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Digital images are more important in numerous contemporary applications, and the need for images in the technical field is also increasing drastically. It is used to recognize signatures and faces in many industries and is applicable for intelligent departments. The images are usually associated with the noise content; this may happen due to the instrument imperfections, troubleshooting while collecting data from the acquisition process, and another natural phenomenon. Poisson noise, also known as photon noise, is caused in the images due to the statistical essence of electromagnetic waves. X‐ray, visible light, and gamma rays are electromagnetic waves. The enhancement of the convolution model in addressing images is challenging due to the various constituents such as optical aberrations, noise level, and optical setup. The modeling configuration of the image is attained using the point spread function (PSF), which is responsible for the system's impulse response. The quality image is retrieved by denoising and super‐resolution (SR) methods; these methods simultaneously eliminate the noise content from the images. A Richardson–Lucy and alternating direction method of multipliers type of non‐blind iterative algorithmic approaches associated with the PSF performance in addressing image is comparatively analyzed. The deep learning approach, convolutional neural networks (CNNs), is also employed to understand the nonlinear mapping relationship between the observed data and ground reality. The performance of the various network approaches is compared in this article. The result obtained shows that the deep learning CNNs achieved higher accuracy in producing denoising images. The goal of the proposed system model is to remove the interference noise in images. The high‐resolution images are obtained by implementing a SR‐based CNN model.

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“…Manuscript published on January 30, 2021. loss with compact size [2]. The impedance bandwidth of radiating patch enhanced by loaded with slots and different shapes of fractal boundary [3]. By placing the slot which may be of different shapes like inverted U-shape, L-shape addition with rectangular ring strip as well as defected ground plane, a multiband antenna has been studied and designed [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Optimized Bandwidth Enhanced Wideband Microstrip Antenna for 5G Applications

Singh¹,

Jain²,

Singh³

2021

IJEAT

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In this article, a single port with truncated corner and common T-shaped notch loaded microstrip patch antenna for bandwidth enhancement is presented which is useable for mid band of 5G applications. The design of this prototyped antenna is obtained by loading truncated corner and T-shaped notch on rectangular patch antenna having 50 Ω microstrip line feed. The optimized antenna 5 is selected as proposed antenna at design frequency 3 GHz among antenna 1- antenna 5after study of simulated results through IE3D Mentor Graphics simulation software. Proposed antenna covers a wide bandwidth from 2.39 to 4.04 GHz and fractional bandwidth of 51.3% with pair of resonance frequency having return loss of -23.38 dB and -29.65 dB respectively.

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Dual Band Triangular Microstrip Antenna for WLAN/WiMAX Applications

Cited by 5 publications

References 0 publications

Designing A Metamaterial Inspired MIMO Antenna For Multi-Band Application

Designing A Metamaterial Inspired MIMO Antenna For Multi-Band Application

Addressing image and Poisson noise deconvolution problem using deep learning approaches

Optimized Bandwidth Enhanced Wideband Microstrip Antenna for 5G Applications

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