Design of Miniaturized SIW Filter Loaded with Improved CSRR Structures

Huang, Xiaolong

doi:10.3390/electronics12183789

Cited by 10 publications

(5 citation statements)

References 31 publications

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“…In response to these evolving dynamics, the design of filters-integral to the efficacy of RF front-end systems-is also transitioning towards miniaturization. This strategic shift, well-documented in recent studies [1][2][3][4], underscores the industry's adaptation to the multifaceted demands of contemporary wireless communication. This transition not only reflects the technological strides made in the field but also highlights the industry's commitment to innovating solutions that align with the compact, efficient, and multifunctional requirements of current communication devices.…”

Section: Introductionmentioning

confidence: 92%

A Compact Bandpass Filter with Widely Tunable Frequency and Simple Bias Control

Xiang,

Tan,

Ding

et al. 2024

Electronics

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This research paper introduces an innovative design for a compact bandpass filter, notable for achieving a substantial tuning range of operational frequencies using just a single bias voltage. The design is based on a planar microstrip approach, distinguished by its straightforward and efficient structure. Additionally, this filter is characterized by its excellent performance in suppressing out-of-band frequencies. To validate the practicality and effectiveness of this novel design, a compact filter was designed, manufactured, and measured. The testing results were impressive, showing that the filter’s measured center frequency could be tuned across a wide spectrum, from 1.1 to 3.1 GHz, achieving a relative bandwidth of up to 95%. Herein, the relative bandwidth is derived from the calculation of 2(fhigh − flow)/(fhigh + flow). Remarkably, the filter consistently maintains a return loss exceeding 19 dB throughout its tuning range. Additionally, it sustains a 15 dB return loss bandwidth greater than 90 MHz, with the insertion loss varying between a minimum of 0.9 dB and a maximum of 2.1 dB. The compactness of the filter is one of its standout features, with circuit dimensions measuring a mere 0.06λg × 0.09λg (physical dimensions is 13.8 mm × 21.3 mm), where λg represents the wavelength at the filter’s lowest center frequency.

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Section: Introductionmentioning

confidence: 92%

A Compact Bandpass Filter with Widely Tunable Frequency and Simple Bias Control

Xiang,

Tan,

Ding

et al. 2024

Electronics

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“…Figure 1a shows a metasurface resonator, which is a typical rectangular split-ring resonator (SRR) structure with gaps at symmetric positions along the metallic rings [17,18]. The entire model consists of only two layers: the substrate and the metallic layer.…”

Section: Thz Metasurface Sensor and Resonant Characteristicsmentioning

confidence: 99%

Deep Learning-Enhanced Inverse Modeling of Terahertz Metasurface Based on a Convolutional Neural Network Technique

Gao,

Jiang,

Zhu

et al. 2024

Photonics

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The traditional design method for terahertz metasurface biosensors is cumbersome and time-consuming, requires expertise, and often leads to significant discrepancies between expected and actual values. This paper presents a novel approach for the fast, efficient, and convenient inverse design of THz metasurface sensors, leveraging convolutional neural network techniques based on deep learning. During the model training process, the magnitude data of the scattering parameters collected from the numerical simulation of the THz metasurface served as features, paired with corresponding surface structure matrices as labels to form the training dataset. During the validation process, the thoroughly trained model precisely predicted the expected surface structure matrix of a THz metasurface. The results demonstrate that the proposed algorithm realizes time-saving, high-efficiency, and high-precision inversion methods without complicated data preprocessing and additional optimization algorithms. Therefore, deep learning algorithms offer a novel approach for swiftly designing and optimizing THz metasurface sensors in biomedical detection, bypassing the complex and specialized design process of electromagnetic devices, and promising extensive prospects for their application in the biomedical field.

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“…The MTL of the width a 1 = 2.192 mm is printed on the upper layer of the AD250C substrate of a square shape and size b 1 = 20 mm and b 2 = 20 mm, as shown in Figure 1a. The geometry of the CCAR is derived from the fundamental structure known as the complementary square split ring resonator (CSSRR), which has been used recently to design negative group delay circuit [18], substrate-integrated waveguide filter [19], wideband antenna [20], and microwave sensor [21]. Figure 2 shows the progression of the CCAR geometry from its predecessor, the CSSRR.…”

Section: Sensor Designmentioning

confidence: 99%

“…Initially, a CSSRR with the three geometric parameters (d 1 = 4 mm, d 2 = 3 mm and d 3 = 0.5 mm) is designed, as shown in Figure 2a. The initial geometric parameters were chosen by a comprehensive analysis of the existing literature [18][19][20][21]. After simulation, the CSSRR under investigation exhibits a resonant frequency of 8.6 GHz, accompanied by a notable notch depth of −26.7 dB.…”

Section: Sensor Designmentioning

confidence: 99%

New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization

Haq,

Koziel

2023

Sensors

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The design of high-performance complementary meta-resonators for microwave sensors featuring high sensitivity and consistent evaluation of dielectric materials is challenging. This paper presents the design and implementation of a novel complementary resonator with high sensitivity for dielectric substrate characterization based on permittivity and thickness. A complementary crossed arrow resonator (CCAR) is proposed and integrated with a fifty-ohm microstrip transmission line. The CCAR’s distinct geometry, which consists of crossed arrow-shaped components, allows for the implementation of a resonator with exceptional sensitivity to changes in permittivity and thickness of the material under test (MUT). The CCAR’s geometrical parameters are optimized to resonate at 15 GHz. The CCAR sensor’s working principle is explained using a lumped-element equivalent circuit. The optimized CCAR sensor is fabricated using an LPKF protolaser on a 0.762-mm thick dielectric substrate AD250C. The MUTs with dielectric permittivity ranging from 2.5 to 10.2 and thickness ranging from 0.5 mm to 1.9 mm are used to investigate the properties and calibrate the proposed CCAR sensor. A two-dimensional calibration surface is developed using an inverse regression modelling approach to ensure precise and reliable measurements. The proposed CCAR sensor is distinguished by its high sensitivity of 5.74%, low fabrication cost, and enhanced performance compared to state-of-the-art designs, making it a versatile instrument for dielectric characterization.

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Design of Miniaturized SIW Filter Loaded with Improved CSRR Structures

Cited by 10 publications

References 31 publications

A Compact Bandpass Filter with Widely Tunable Frequency and Simple Bias Control

A Compact Bandpass Filter with Widely Tunable Frequency and Simple Bias Control

Deep Learning-Enhanced Inverse Modeling of Terahertz Metasurface Based on a Convolutional Neural Network Technique

New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization

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