Miniaturized microstrip lowpass filter using cylindrical-shaped resonators for integrated applications

Imani, Mohammad Amin; Shama, Farzin; Alirezapoori, Mohsen; Ekhteraei, Milad

doi:10.1007/s10470-018-1176-7

Cited by 15 publications

(1 citation statement)

References 18 publications

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“…In recent years, researchers have developed microstrip filters using related structures. Each of these structures has strengths and weaknesses that can be combined to achieve a new structure with the improvement of all parameters (Chen, Li, and Chu, 2017;Du, Yang, Zhang, H., and Zhu, 2014;Imani, Shama, Alirezapoori, and Ekhteraei, 2018;Kolahi and Shama, 2018;Kumar and Parihar, 2016;Rekha, Abdulla, Jasmine, and Anu, 2020;Shama, Hayati, and Ekhteraei, 2018;Wang, Xu, Zhao, Guo, and Wu, 2010;Wei, Chen, and Shi, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Miniaturized wide Stopband Low-pass Filter using T and Modified L Shapes Resonators

Fadaee

Shama

Feali

et al. 2023

ARO

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A new structure of microstrip-based low-pass filter with wide stopband and sharp roll-off is introduced, in this paper. In the proposed topology, resonators with T and modified L Shapes have been used. To improve the suppression factor and relative stopband bandwidth, the second resonator has been added to the first resonator. The designed filter has been fabricated on a 20 mm thickness RO4003 substrate, which has a loss tangent of 0.0021 and a relative dielectric constant equal to 3.38. All parameters including roll of rate, stopband, bandwidth, return loss, insertion loss, and figure of merit have significant coefficients. Simulation has been ran using advanced design system software. The 3dB cutoff frequency is appropriate. The value of the insertion loss parameter is <0.1 dB and the S11 parameter is −22 dB at this point. The stopband is extended from 2.42 up to 24 GHz, which shows an ultra-stopband. The results of the simulation and experiment are almost similar, which indicates a proper performance of the designed structure.

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Section: Introductionmentioning

confidence: 99%

A Miniaturized wide Stopband Low-pass Filter using T and Modified L Shapes Resonators

Fadaee

Shama

Feali

et al. 2023

ARO

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A miniaturized filter design approach using GMDH neural networks

Sattari

Hayati

Shama

et al. 2023

Micro & Optical Tech Letters

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A miniaturized microstrip low‐pass filter (LPF) has been designed and fabricated using semicircular‐shaped resonators. The designing procedures as well as the LC equivalent circuit of each step have been reported. Due to the small size of the presented filter, flat group delay in the pass‐band, low insertion loss (IL), and high return loss (RL) in operational frequency. By producing adjusted transmission zeros (TZs), the second to fourth unwanted harmonics were attenuated using the proposed LPF. The machine learning approach has been utilized to adjustment of the filter parameters. The 3 dB cut‐off frequency (Fc), TZs, IL, and RL were predicted using the group method of data handling neural network (GMDHNN). Ninety simulations were performed with different inductor and capacitor values. The collected data were used for neural network training. The GMDHNN can diagnose the efficient inputs, so this feature was applied to determine the efficient L and C elements on TZs, Fc, IL, and RL. Finally, the fabricated filter results are well‐matched with the simulation ones. IL and RL of the suggested filter in operational frequency are −0.09 and −17.26 dB, respectively. The total filter size is only 14.65 mm × 3.5 mm.

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Design of an Optimal Microstrip Butterworth Low-Pass Filter Using Colliding Bodies Optimization

Gupta

Kansal

Thyagarajan

et al. 2019

Lecture Notes in Electrical Engineering

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Miniaturized microstrip lowpass filter using cylindrical-shaped resonators for integrated applications

Cited by 15 publications

References 18 publications

A Miniaturized wide Stopband Low-pass Filter using T and Modified L Shapes Resonators

A Miniaturized wide Stopband Low-pass Filter using T and Modified L Shapes Resonators

A miniaturized filter design approach using GMDH neural networks

Design of an Optimal Microstrip Butterworth Low-Pass Filter Using Colliding Bodies Optimization

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