A novel design for an ultracompact optical majority gate based on a ring resonator on photonic crystal substrate

Parandin, Fariborz; Sheykhian, Arezoo; Bagheri, Nila

doi:10.1007/s10825-023-02016-w

Cited by 25 publications

(10 citation statements)

References 46 publications

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“…An artificial neural network (ANN) is used to optimized BPF, and in [ 16 ], an ANN model is used to find transfer function of the branch line coupler. Additionally, higher frequencies for filters and resonators have been achieved using optical fiber substrates [ 17 , 18 , 19 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Design of a Compact Quad-Channel Microstrip Diplexer for L and S Band Applications

et al. 2023

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In this paper, two novel dual-band bandpass filters (BPFs) and a compact quad-channel diplexer working at 1.7/3.3 GHz and 1.9/3.6 GHz are proposed. In the proposed diplexer design, triangular loop resonators and rectangular loop resonators are used together to reduce the circuit size and improve diplexer performances. Insertion loss (IL) and return loss (RL) of the proposed diplexer are better than 0.8 dB and 21 dB, respectively, at these four operating frequencies. Output ports isolation parameter is better than 30 dB. With the achieved specifications, the proposed diplexer can be used in L and S band applications.

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Section: Introductionmentioning

confidence: 99%

Design of a Compact Quad-Channel Microstrip Diplexer for L and S Band Applications

et al. 2023

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“…Recently, neural network techniques have been used to improve the performance of electronic circuits, which also have been applied in the designing of the BPFs and diplexers [12][13][14][15][16][17]. Also, optical fibers substrates [18,19] can be used to operate at higher frequencies for filters and diplexers [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A Miniaturized Dual-Band Diplexer Design with High Port Isolation for UHF/SHF Applications Using a Neural Network Model

2023

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In this paper, a compact dual-band diplexer is proposed using two interdigital filters. The proposed microstrip diplexer correctly works at 2.1 GHz and 5.1 GHz. In the proposed diplexer, two fifth-order bandpass interdigital filters are designed to pass the desired frequency bands. Applied interdigital filters with simple structures pass the 2.1 GHz and 5.1 GHz frequencies and suppress other frequency bands with high attenuation levels. The dimensions of the interdigital filter are obtained using the artificial neural network (ANN) model, constructed from the EM-simulation data. The desired filter and diplexer parameters, such as operating frequency, bandwidth, and insertion loss, can be obtained using the proposed ANN model. The insertion loss parameter of the proposed diplexer is 0.4 dB, and more than 40 dB output port isolation is obtained (for both operating frequencies). The main circuit has the small size of 28.5 mm × 23 mm (0.32 λg × 0.26 λg). The proposed diplexer, with the achieved desired parameters, is a good candidate for UHF/SHF applications.

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“…Moreover, due to the higher frequency limitations of Microstrip substrates, crystal photonics have been widely applied in high-frequency designs [32][33][34][35]. This method [36,37] can be used for passive design structures, such as power dividers, in higher frequency ranges. Additionally, in some designs [38][39][40][41][42][43], lumped components (L and C) have been used to create compact dividers with harmonics suppression that then cause a limited frequency response.…”

Section: Introductionmentioning

confidence: 99%

A Fast Surrogate Model-Based Algorithm Using Multilayer Perceptron Neural Networks for Microwave Circuit Design

et al. 2023

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This paper introduces a novel algorithm for designing a low-pass filter (LPF) and a microstrip Wilkinson power divider (WPD) using a neural network surrogate model. The proposed algorithm is applicable to various microwave devices, enhancing their performance and frequency response. Desirable output parameters can be achieved for the designed LPF and WPD by using the proposed algorithm. The proposed artificial neural network (ANN) surrogate model is employed to calculate the dimensions of the LPF and WPD, resulting in their efficient design. The LPF and WPD designs incorporate open stubs, stepped impedances, triangular-shaped resonators, and meandered lines to achieve optimal performance. The compact LPF occupies a size of only 0.15 λg × 0.081 λg, and exhibits a sharp response within the transmission band, with a sharpness parameter of approximately 185 dB/GHz. The designed WPD, operating at 1.5 GHz, exhibits outstanding harmonics suppression from 2 GHz to 20 GHz, with attenuation levels exceeding 20 dB. The WPD successfully suppresses 12 unwanted harmonics (2nd to 13th). The obtained results demonstrate that the proposed design algorithm effectively accomplishes the LPF and WPD designs, exhibiting desirable parameters such as operating frequency and high-frequency harmonics suppression. The WPD demonstrates a low insertion loss of 0.1 dB (S21 = 0.1 dB), input and output return losses exceeding 30 dB (S11 = −35 dB, S22 = −30 dB), and an output ports isolation of more than 32 dB (S23 = −32 dB), making it suitable for integration into modern communication systems.

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A novel design for an ultracompact optical majority gate based on a ring resonator on photonic crystal substrate

Cited by 25 publications

References 46 publications

Design of a Compact Quad-Channel Microstrip Diplexer for L and S Band Applications

Design of a Compact Quad-Channel Microstrip Diplexer for L and S Band Applications

A Miniaturized Dual-Band Diplexer Design with High Port Isolation for UHF/SHF Applications Using a Neural Network Model

A Fast Surrogate Model-Based Algorithm Using Multilayer Perceptron Neural Networks for Microwave Circuit Design

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