A novel miniature coplanar band-pass filter for ISM applications

Nasiri, Badr; Ennajih, Abdelhadi; Errkik, Ahmed; Zbitou, Jamal; Derri, Mounir

doi:10.11591/eei.v9i1.1340

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Microstrip planar circuits are one of the most commonly used design solutions for RF passive and active elements because they can be easily integrated in the current communication systems, have small physical size, low weight, and low cost 4 . Although there are a series of applications of microstrip band‐pass filter designs in literature for different operations bands of Wifi, 5 ISM, 6 WiMAX, 7 5G, multiband, 8 or ultra‐wideband, 9 in all of the mentioned applications, the proposed design can only be achieved via an accurate and elaborate calculations, also using 3D full‐wave EM simulators. However, such techniques are not only tedious but are also computationally inefficient 10–12 …”

Section: Introductionmentioning

confidence: 99%

“…microstrip band-pass filter designs in literature for different operations bands of Wifi, 5 ISM, 6 WiMAX, 7 5G, multiband, 8 or ultra-wideband, 9 in all of the mentioned applications, the proposed design can only be achieved via an accurate and elaborate calculations, also using 3D fullwave EM simulators. However, such techniques are not only tedious but are also computationally inefficient.…”

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confidence: 99%

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Data‐driven modeling of band‐pass filter for sub‐5G applications

Belen

2023

Micro & Optical Tech Letters

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Radiofrequency noise is one of the challenging problems in the design of high‐performance wireless communication systems, for which microstrip band‐pass filters are one of the most commonly used design solutions for this challenge. However, for having high‐performance designs. usage of a 3D Electromagnetic simulation tool is a must in which the computation efficiency of the whole design optimization process might not be acceptable or even feasible. An efficient solution is utilization of AI‐based algorithms to create data‐driven surrogate models of the handled problem. In this paper, for achieving design optimization of an edge‐coupled band‐pass filter AI‐based algorithms have been used to create a data‐driven surrogate model. To achieve this, by using a 3D full‐wave simulator a data set for the aimed bandpass filter is generated. Then a series of state‐of‐the‐art regression algorithms, Support Vector Regression Machine, MultiLayer Perceptron, Ensemble Learning, Gaussian Process Regression, and Convolutional Neural Network have been used to create a data‐driven surrogate model for the aimed filter design. In the third step, the obtained data‐driven surrogate model is used to assist an optimization process directed by the Bayesian optimization technique to optimally determine geometrical design parameters of the desired band‐pass filter for sub‐5G applications at frequency of 3.4 GHz. The obtained results of the surrogate model are compared with experimental results and found to be in high agreement level. Furthermore, the performance of the optimally designed filter is compared with the counterpart designs in literature. Thus, based on the obtained results, it can be said that the proposed surrogate‐assisted optimization process is not only an efficient method in terms of computational costs but also is an efficient method to obtain high‐performance microwave filter designs.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Data‐driven modeling of band‐pass filter for sub‐5G applications

Belen

2023

Micro & Optical Tech Letters

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Design and Implementation of Highly Selective and Compact Low Profile Bandpass Filter for 5G Mid-Band Frequency Applications

Revathi¹,

Robinson²

2023

Wireless Pers Commun

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Design and development of metamaterial bandpass filter for WLAN applications using circular split ring resonator

Revathi¹,

Robinson²

2021

Frequenz

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In this paper, a metamaterial bandpass filter using Split Ring Resonators (SRR) is designed, analyzed, and developed for WLAN applications at 2.4 GHz frequency band. Here, metamaterial bandpass filters with and without Defected Ground Structure (DGS) are designed, analyzed and compared. The filter structure shows a considerable size reduction with 50% fractional bandwidth, quality factor of 2 and wide bandwidth. The simulation results of the proposed filters offered good insertion loss and return loss response. The filters have been modeled, fabricated and their performance has been evaluated using the Method Of Moment (MOM) based electromagnetic simulator IE3D. The dimensions of the proposed filter is 20 × 9 × 1.6 mm which is considerably reduced. The simulated and measured results projected that the proposed metamaterial filters are well suited for WLAN applications.

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A novel miniature coplanar band-pass filter for ISM applications

Cited by 3 publications

References 21 publications

Data‐driven modeling of band‐pass filter for sub‐5G applications

Data‐driven modeling of band‐pass filter for sub‐5G applications

Design and Implementation of Highly Selective and Compact Low Profile Bandpass Filter for 5G Mid-Band Frequency Applications

Design and development of metamaterial bandpass filter for WLAN applications using circular split ring resonator

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