Article
Mathematics, Interdisciplinary Applications
Xu Zhang, Fuhong Min, Yiping Dou, Yeyin Xu
Summary: This paper investigates the analytical solutions of the modified FitzHugh-Nagumo (FHN) neuron model with external electric fields using the discrete mapping method, providing a new perspective for studying the complex motions of neurons. The bifurcation trees and stability of different period motions are presented, and the stable and unstable orbits are calculated, which cannot be studied using traditional numerical methods. Moreover, the spiking firing of neurons can be observed through the discrete nodes in phase portraits and time histories of membrane potential. The investigation results, along with the hardware circuit implementation, are useful for the development of artificial intelligence and medicine.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Forwah Amstrong Tah, Conrad Bertrand Tabi, Timoleon Crepin Kofane
Summary: The study examines the spatiotemporal dynamics of the Fitzhugh-nagumo neuron, identifying Hopf bifurcations induced by relaxation and Pitchfork bifurcations due to diffusion. The analysis shows that the system allows for finite speeds of propagation for non-negligible values of relaxation time.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
Zeric Tabekoueng Njitacke, Clovis Ntahkie Takembo, Jan Awrejcewicz, Henri Paul Ekobena Fouda, Jacques Kengne
Summary: This paper presents and studies the dynamics of a single neuron and a network of an improved FitzHugh-Nagumo model with memristive autapse. The investigation reveals hidden dynamics in the improved model, and the energy in the system is only affected by the strength of the memristive autapse. The study of the network with 500 neurons shows that it supports localized information patterns with synchronization as a means of information coding.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Engineering, Mechanical
Dongpo Hu, Xiao Yu, Zigen Song, Ming Liu, Xuexue Liu
Summary: This paper presents a multiple time delays FitzHugh-Nagumo (FHN) neuron system with chemical and electrical coupling. Both the coupled FHN neuron systems without and with time delays are investigated. The equilibria of the FHN neuron system without time delay are studied with variations in the strength of chemical and electrical coupling. The stability analysis of the coupled FHN neuron system with delays shows a stability switching through Hopf bifurcation.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Houssem Achouri, Chaouki Aouiti, Hassam Ben Hamed
Summary: This paper considers a coupled FitzHugh-Nagumo system with multiple delays. First, a critical point with a double zero root in the characteristic equation is constructed. Then, the zeros of a third and a fourth degree exponential polynomial are studied to ensure that all the roots of the characteristic equation, except for the double zero root, have negative real parts. The critical values for the occurrence of the Bogdanov-Takens bifurcation are also derived. By using normal form theory and reduction on the centre manifold, the truncated normal form is obtained and the dynamical behaviors are studied through the bifurcation diagram. Finally, a numerical example is provided to demonstrate the results.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Computer Science, Artificial Intelligence
Tao Dong, Huiyun Zhu
Summary: In this paper, a novel FHN neuron model with membrane potential threshold control policy is proposed, which exhibits complex dynamics as shown through numerical simulations. The analysis of sliding segments, null-clines, and various equilibria provides insights into the behavior of the proposed model. Through numerical techniques, boundary node bifurcation, pseudo-saddle-node bifurcation, and global touching bifurcation are investigated, confirming the effectiveness of the model.
NEURAL PROCESSING LETTERS
(2021)
Article
Engineering, Mechanical
Guoyong Yuan, Zhimei Gao, Sitong Yan, Guangrui Wang
Summary: The study utilizes numerical simulation with the FHN model to successfully eliminate pinned spiral waves in cardiac tissue by applying periodic perturbations near the boundary. It is suggested that termination of pinned spirals may be successful when obstacle size is small and perturbation period is limited. Additionally, pinned spiral waves can also be coincidentally eliminated for specific parameter values outside the area.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Mechanical
Zeric Tabekoueng Njitacke, Jan Awrejcewicz, Balamurali Ramakrishnan, Karthikeyan Rajagopal, Jacques Kengne
Summary: This study introduces a novel small neural network model, which achieves heterogeneous coupling through coupling and is numerically investigated using various nonlinear analysis tools, finding that the model can exhibit three distinct electrical activities simultaneously.
NONLINEAR DYNAMICS
(2022)
Article
Mathematics, Applied
A. Rybalko, A. Fradkov
Summary: The paper addresses the parameter identification problem for two-neuron FitzHugh-Nagumo models, where only the membrane potential is measured and both variable derivatives cannot be measured. Additionally, the paper considers the imprecision of the sensor measuring the membrane potential and the unknown scaling factor of all measurements. The paper presents a novel solution that transforms the model to a simpler form, uses variables obtained from a second-order real filter-differentiator, and designs an adaptive system for parameter estimation.
Article
Mathematics, Applied
Chao Xing, Zhigang Pan, Quan Wang
Summary: This article examines the dynamic transition of the reaction-diffusion Fitzhugh-Nagumo system in different spatial backgrounds, showing that the system undergoes transitions from different types of eigenvalues, leading to the emergence of new steady-state solutions and bifurcation phenomena.
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B
(2021)
Article
Engineering, Mechanical
Benjamin Ambrosio, Stanislav M. Mintchev
Summary: This article investigates regular depolarization cascades in periodically kicked feedforward chains of two-dimensional FitzHugh-Nagumo systems. The dynamics of the system undergo a transition from simple depolarization to more complex behavior, including the emergence of mixed-mode oscillations, as the forcing period changes. The study provides rigorous proofs and numerical observations, revealing the existence and stability of periodic traveling waves of depolarization, as well as the propagation of a simple mixed-mode oscillation. The numerical investigation also uncovers a mechanism for the emergence of complex mixed-mode oscillations and sheds light on the propagation of this phenomenon in the downstream.
NONLINEAR DYNAMICS
(2022)
Article
Mathematics, Interdisciplinary Applications
Xinlei An, Shuai Qiao
Summary: This paper investigates the discharge patterns of a HR neuron under electromagnetic induction, including hidden, period-adding, mixed-mode oscillations, and their control methods. Theoretical analysis and numerical simulations are combined to study the equilibrium points and stability in the system, as well as the existence of Hopf bifurcation points. The results provide insights into understanding discharge patterns and controlling membrane voltage transfer in the magnetic flux HR neuron system.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Engineering, Multidisciplinary
Igor Y. Popov, Evgeny G. Fedorov
Summary: This paper focuses on the analysis of the effect of coupling strength and time delay on the dynamics of a system composed of a pair of connected neurons. The FitzHugh-Nagumo model is used as the neuron model, and the paper presents analytical conditions for Hopf bifurcations in the system. Numerical verification of the results is provided, and several examples of global bifurcation in the system are analyzed.
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION
(2023)
Article
Mathematics, Applied
Shuang Chen, Jinqiao Duan
Summary: We study the spectra for a class of differential operators with asymptotically constant coefficients. These operators widely arise as the linearizations of nonlinear partial differential equations about patterns or nonlinear waves. We present a unified framework to prove the perturbation results on the related spectra. The proof is based on exponential dichotomies and the Brouwer degree theory. As applications, we employ the developed theory to study the stability of quasi-periodic solutions of the Ginzburg-Landau equation, fold-Hopf bifurcating periodic solutions of reaction-diffusion systems coupled with ordinary differential equations, and periodic annulus of the hyperbolic Burgers-Fisher model.
PHYSICA D-NONLINEAR PHENOMENA
(2023)
Article
Materials Science, Multidisciplinary
Muhammad W. Yasin, Muhammad S. Iqbal, Nauman Ahmed, Ali Akgul, Ali Raza, Muhammad Rafiq, Muhammad Bilal Riaz
Summary: This article discusses the Fitzhugh-Nagumo equation in the presence of a stochastic function. A numerical scheme is developed to solve such equations while preserving the certain structure of the unknown functions. The stability analysis, consistency, and explicit optimal a priori estimates for the existence of solutions are also provided. The article also includes simulation of the proposed numerical scheme using 2D and 3D plots, demonstrating the effectiveness of stochastic analysis for these nonlinear partial differential equations.
RESULTS IN PHYSICS
(2022)
Article
Physics, Applied
Zhiqiu Ye, Yumei Yang, Ya Jia
Summary: This paper investigates the inhibitory effect of noise on neural discharge activity and its mechanism, and discovers the phenomenon of inverse stochastic resonance. The findings are of great importance for understanding complex physiological phenomena of the nervous systems.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2023)
Article
Engineering, Mechanical
Yong Wu, Qianming Ding, Tianyu Li, Dong Yu, Ya Jia
Summary: The ambient temperature and the time delay of signal transmission have important influences on the synchronization behavior of neuronal networks. Both electrical and chemical synapses contribute to the synchronization of scale-free networks, with different effects at different temperatures. The presence of time delay leads to multiple synchronization transitions in both types of synapses. Surprisingly, there is a temperature threshold for synchronization in networks connected by chemical synapses. The generality of the results and mechanisms is verified by investigating the effects of different network scales on synchronization.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Applied
Lulu Lu, Zhuoheng Gao, Zhouchao Wei, Ming Yi
Summary: The study investigates the effects of excitatory-inhibitory balance and neural network structures on working memory tasks using a neuron-astrocyte network model. The results reveal that performance metrics are higher for scale-free networks compared to other structures, and the tasks can be successfully completed when the proportion of excitatory neurons exceeds 30%. An optimal region is identified for excitatory neuron proportion and synaptic weight, where memory performance metrics are higher. The study also highlights the overlap of spatial calcium patterns in the astrocyte network for different items in multi-item working memory tasks, suggesting similarities to cognitive memory formation in the brain. Additionally, cued recall in complex image tasks reduces systematic noise and maintains task stability.
Article
Mathematics, Applied
Dong Yu, Guowei Wang, Tianyu Li, Qianming Ding, Ya Jia
Summary: This paper investigates the frequency selection and filtering properties of neurons in response to band-pass filtered signals. It is found that the filtering property of neurons depends on the locking relationship between the signal frequency and the neuronal natural frequency. Neurons respond better to low-frequency signals due to the reduction in the amplitude of harmonic components. Additionally, the filtering ability of neurons can be modulated by the excitation level.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Chemistry, Physical
Tao Lin, Jiacheng Lin, Xiaoyao Wei, Lulu Lu, Xuefeng Yin
Summary: Among the electrode materials of supercapacitors, transition metal oxides, including MnO2, have shown promising properties. However, the low conductivity, agglomeration, and volume change of MnO2 lead to its limited specific capacitance. To address this issue, attapulgite is introduced as a composite material to enhance the electrochemical performance. The ATP-MnO2 composites exhibit higher specific capacitance and better cycle stability compared to pure MnO2 nanoflowers.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Neurosciences
Xiaoqian Liu, Lulu Lu, Yuan Zhu, Ming Yi
Summary: This article simulates the up and down transitions of membrane potentials using a neural network and discusses the energy consumption and efficiency. The study finds that the dynamics of intrinsic currents have a significant impact on energy consumption and efficiency. Adjusting network parameters can reduce energy consumption and enhance energy efficiency, providing insights into the metabolic consumption of spontaneous activities.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Engineering, Mechanical
Dong Yu, Lijian Yang, Xuan Zhan, Ziying Fu, Ya Jia
Summary: In this work, a new method for designing logic circuits by mapping the output of a stochastic Hodgkin-Huxley neuron system to logic gate operations is reported. Logical stochastic resonance is achieved and low energy consumption is observed, indicating that HH neurons are excellent building blocks for logic circuits. The mechanisms underlying these findings are interpreted using bifurcation and phase plane diagrams. A neuronal network is constructed to improve the reliability of logic gates, where synaptic currents modulate the performance by regulating the switching time between steady states. Possible schemes for enhancing the reliability of logic gates are also discussed.
NONLINEAR DYNAMICS
(2023)
Article
Physics, Multidisciplinary
Dong Yu, Yong Wu, Lijian Yang, Yunjie Zhao, Ya Jia
Summary: This paper investigates the influence of topology on the phenomenon of delay-induced multiple resonances in locally driven systems. The results show that the maximum value of the Fourier coefficient occurs at an integer multiple of T/N, where T is the external signal period or the neuronal intrinsic oscillation period, and N is determined by the network's topology. The obtained results are briefly discussed in terms of the network's topology. The emergence of delay-induced multiple resonances depends on the interaction of the delay enhancement effect and the delay inhibition effect. In the case of weak coupling, the signal response performance is enhanced over a wider range of delay windows, dominated by delay enhancement effects. These findings may provide new insights into weak signal response and transmission in delay-coupled neural networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Psychiatry
Lulu Lu, Hongxian Shen, Liwen Tan, Qiuping Huang, Qiongni Chen, Mining Liang, Li He, Yang Zhou
Summary: This study aimed to determine the prevalence of anxiety and depression among community-dwelling older adults in China and explore the associated factors. The results showed a high prevalence of anxiety (32.74%) and depression (37.34%) among the study participants. Gender, employment status, physical activity, physical pain, comorbidities, and social support were found to be associated with psychological health problems in older adults.
Article
Neurosciences
Xuening Li, Dong Yu, Lijian Yang, Ziying Fu, Ya Jia
Summary: This paper investigates the synchronization mode transition and energy dependence in a delay-coupled FitzHugh-Nagumo neuronal system. The research findings suggest that the synchronization mode and the Hamiltonian energy can be modulated by adjusting the chaotic current intensity, coupling strength, and time delay.
COGNITIVE NEURODYNAMICS
(2023)
Article
Physics, Multidisciplinary
Xueqin Wang, Dong Yu, Tianyu Li, Ya Jia
Summary: This paper investigates the phenomenon of logical stochastic resonance in Hodgkin-Huxley neurons under electromagnetic effects. It is found that appropriately reducing the magnitude of the external bias current allows Hodgkin-Huxley neurons to perform reliable logic operations while consuming less energy. Additionally, an appropriate increase in coupling strength in neuronal networks has a favorable impact on system logic operations. Small-world networks outperform scale-free networks for logical operations.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Qianming Ding, Yong Wu, Dong Yu, Tianyu Li, Ya Jia
Summary: This paper investigates the effect of magnetic flux on spiral waves and draws some conclusions, which are important for the recovery of cardiac tissue.
Article
Physics, Fluids & Plasmas
Dong Yu, Xuan Zhan, Li-jian Yang, Ya Jia
Summary: In the past decade, dynamic schemes using bistable systems for logic device design have been proposed. These bistable systems can function as reliable logic gates in the presence of moderate noise, known as logical stochastic resonance (LSR). This paper explores the emergence and underlying mechanisms of LSR in general bistable systems. The timescale relationship between measured time and mean first-pass time of state transitions plays a crucial role in determining system reliability. Moreover, utilizing appropriate filtering methods can significantly enhance the stability of logic operations.
Article
Physics, Multidisciplinary
G. -w. Wang, Y. Fu
Summary: Taking into account the influence of electric field and introducing adaptation current as a mutation parameter for spike-burst firing, a novel variant Hindmarsh-Rose neural model is proposed to investigate the firing modes of neural systems. In a single HR neural system, it is observed that increasing current intensity can lead to fusion absorption of neuron firing modes. Higher sinusoidal current frequency transforms the HR neuronal model from an asymmetric dual-mode state to a symmetric dual-mode state. Synchronization of neuron firing modes exhibits a nonlinear relationship when considering the electric field with increasing chemical synapse intensity.
INDIAN JOURNAL OF PHYSICS
(2023)
Article
Engineering, Electrical & Electronic
Wenzhang Zhang, Jinyao Zhang, Chaoyun Song, Rui Pei, Xuanming Zhang, Haiwen Liu, Congzheng Han, Yi Huang, Jiafeng Zhou
Summary: Due to the low available ambient power level, it is desirable to have a high gain and wide beamwidth antenna. However, it is difficult to achieve both simultaneously. In this study, a multi-port antenna using a nonuniform metasurface is proposed to overcome this limitation. By exciting three modes with complementary radiation patterns, and connecting each feed to a rectifier, the antenna achieves a wide beam and high gain effectively. The proposed rectenna has a beamwidth of 114 degrees with a gain ranging from 8 to 9.8 dBi, and an RF-to-DC conversion efficiency of 3%-67% at 2.45 GHz.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Shangjing Xi, Kai-Da Xu, Shuai Yang, Xue Ren, Wen Wu
Summary: This paper proposes a bandpass frequency selective surface (FSS) with low loss and angular stability based on three metal layers. The FSS structure is built by coupling the top and bottom resonant layers through a metal ring layer. The performance of the FSS is insensitive to the polarization and angle of the incident wave, and the prototype measurements agree with the simulations.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Ibrahim Abuishmais, Hani H. Ahmad, Fadi. R. Shahroury
Summary: This paper presents a WLED driver solution for multi-display screen systems, featuring a single-inductor power stage with independent outputs and multiple WELD strings with independent digital brightness/dimming control for each display. The inclusion of high-side switches enables independent output voltage control and minimized power consumption.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Rawaa Maher, Ahmed Allam, Haruichi Kanaya, Adel B. Abdelrahman
Summary: This paper presents two high-gain, dualband antennas designed to harvest energy from GSM-1800 and the 2.45 GHz ISM frequency bands. The antennas demonstrate good gain and circular polarization characteristics. Additionally, a dualband rectifier is designed to achieve high peak conversion efficiency.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Trapti Sharma, Addagatla Prashanth, Srinivas Bachu, Deepa Sharma, Anil Kumar Sahu
Summary: This article presents two architectures for ternary Schmitt trigger designs based on carbon nanotube technology. The proposed designs demonstrate superior performance in terms of power consumption and power delay product compared to similar designs, and show stability under process variations. These designs have the potential to achieve higher information density and lower power consumption in digital computation.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Tolga Yucehan
Summary: This manuscript introduces an ICFOA-based lossless floating immittance simulator (FIS). The FIS realizes floating capacitance multiplier, simulated floating inductor, and floating frequency-dependent negative resistor through selection of passive elements. Simulation results confirm the ideal performance of the proposed circuit within certain frequency ranges.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Kumar Saurabh, Sukwinder Singh
Summary: This article introduces a method to improve the performance of a power amplifier. By calculating the optimal load and source impedances through source and load-pull analysis, and designing the optimal matching architecture of input and output network using neural network algorithm, the power amplifier achieves high efficiency and gain in the frequency range of 13.75 GHz-14.5 GHz.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Zhengjia Wang, Yongqing Leng, Xin Qiu, Ming Hui, Youbo Jing, Demin Cao
Summary: This paper proposes a novel reconfigurable filter that can flexibly tune both the center frequency and bandwidth simultaneously. The filter consists of a filter network with Chebyshev properties and a parallel resonator. Through simulation and experiments, it has been proven that this reconfigurable filter has a tunable frequency coverage range of 0.4-2 GHz, with a large tunable range.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Audrey Cayron, Christophe Viallon, Ayad Ghannam, Alessandro Magnani, Thierry Parra
Summary: A 4x4 Butler matrix for millimeter-wave communications is presented in this paper, which utilizes a new 3-D Integrated Passive Devices (IPD) process to achieve a higher performance/compactness trade-off. The design incorporates 3-D transformers and solenoids to optimize couplers and phase shifters and results in a wide bandwidth and low insertion loss.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Abdelali Agouzoul, Emmanuel Simeu, Mohamed Tabaa
Summary: This study aims to improve energy efficiency in buildings, specifically in heating control. By utilizing a model predictive control system based on artificial neural network models and advanced technologies such as FPGAs, the study successfully achieved a significant reduction in heating energy consumption in buildings.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Amjad Iqbal, Muath Al-Hasan, Ismail Ben Mabrouk, Pererik Andreasson, Emil Nilsson, Amor Smida, Tayeb A. Denidni
Summary: This study proposes a compact and frequency-adjustable/reconfigurable substrate integrated waveguide antenna for duplex wireless communications. The antenna achieves frequency reconfigurability and high isolation through the use of resonators and dielectric materials. It has stable radiation properties and a wide frequency range, making it suitable for compact reconfigurable devices.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Peyman PourMohammadi, Hassan Naseri, Noureddine Melouki, Fahad Ahmed, Qi Zheng, Amjad Iqbal, Guy A. E. Vandenbosch, Tayeb A. Denidni
Summary: This article presents a novel low-profile self-duplexing antenna with high isolation for out-band operation applications. The antenna features two patches, one rectangular and one triangular, both utilizing the quarter-mode substrate integrated waveguide (QMSIW) cavity for enhanced performance. Miniaturization is achieved through capacitive slots. The antenna operates at both 5.8 and 9.8 GHz frequencies, with impressive alignment between measured and simulated results. It has compact dimensions and 40 dB isolation between its ports, as well as consistent radiation patterns at both frequencies. The gains at 5.8 and 9.8 GHz are 4.1 and 4.6 dBi, respectively. The antenna's frequency bands can be independently tuned by adjusting the size of the capacitive slots. The article also provides valuable insights into the antenna's functionality and versatility, making it a valuable asset for dual-band wireless communication applications.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Duy-Thai Nguyen, Thanh-Hai Le, Van-Sang Doan, Van-Phuc Hoang
Summary: This paper proposes a method that combines UNet and rootMUSIC algorithm to improve the accuracy of DOA estimation. By converting the covariance matrix of received signals into an ideal antenna array's covariance matrix, and then using rootMUSIC algorithm for DOA estimation, the experimental simulation results show that this method can significantly reduce the error of DOA estimation compared with traditional methods.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Shafaq Kausar, A. U. Kausar, Muhammad Usman Hadi, Hani Mehrpouyan
Summary: This paper presents the design of a high gain multi-beam transmitarray antenna, which is capable of independently steering multiple beams in the azimuth and elevation plane. By using a passive meta-surface, the antenna achieves continuous beam steering by adjusting the phase of the unit cell transmission coefficient. The designed antenna is low cost, robust, and suitable for satellite communication and mm-Wave 5G systems.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
Article
Engineering, Electrical & Electronic
Jeong-Hun Park, Kyeong-Jun Lee, Seung-Jun Park, Moon-Que Lee
Summary: A new self-oscillating mixer (SOM) has been proposed in this paper, which includes a dielectric resonator (DR) antenna fed by a half-mode substrate integrated waveguide (HMSIW) on an FR4 epoxy substrate using hybrid integrated circuit technique. The high quality factor of the HMSIW resonator and the higher order HEM13 delta mode excitation of the DR radiator contribute to the excellent phase noise performance of the oscillator and the high directivity of the antenna, respectively. The phase noise, estimated LO power, and conversion gain are -102.5 dBc/Hz at 1 MHz offset, 8.74 dBm at an oscillation frequency of 24.15 GHz, and 8.5 dB, respectively. The figure-of-merit for the oscillator is -172.8 dBc/Hz.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2024)
