Article
Physics, Multidisciplinary
Xie Ying, Zhu Zhi-Gang, Zhang Xiao-Feng, Ren Guo-Dong
Summary: This paper investigates changing firing patterns of biological neurons by controlling channel current with photocurrent. The results show that the photocurrent-driven capacitive branch has better regulation of membrane potential and increased photosensitive sensitivity.
ACTA PHYSICA SINICA
(2021)
Article
Engineering, Electrical & Electronic
Hongmin Li, Yingchun Lu, Chunlai Li
Summary: The paper investigates the dynamics of tabu learning neuron models under different disturbances, building mathematical models and conducting analyses on various aspects. The results show that the behavior of energy absorption or dissipation during firing process in neuron model depends on the form of stimulation.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2021)
Article
Neurosciences
Xiaoyan Fang, Yao Tan, Fengqing Zhang, Shukai Duan, Lidan Wang
Summary: The Resistors-Capacitor (RC) circuit and the Memristor-Capacitor (MC) circuit serve as circuit models of neuron cell membranes. The MC neuron circuit shows faster charging and discharging speed. Both circuits can generate action potentials and reproduce the nonlinear dynamic behavior of biological neurons.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Multidisciplinary
Xiu-fang Zhang, Jun Ma
Summary: Inspired by the photoelectric effect, a light-sensitive neural circuit is designed to be sensitive to specific frequency bands of external illumination, exhibiting various firing modes and patterns. By utilizing filtering and encoding techniques, the circuit is able to reproduce firing modes in neurons and investigate mode transitions induced by parameter changes.
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
(2021)
Article
Mathematics, Applied
Ying Xu, Jun Ma
Summary: This paper studies temperature-induced pattern formation in a network of thermosensitive neurons and analyzes the effects of coupling amplitude and temperature spatial gradient distribution on pattern formation and synchronization stability. The results show that neural membrane potential can exhibit distinct firing patterns with temperature changes. Electrical synapse coupling and temperature spatial gradient distribution can be controlled to affect neural activities.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Mathematics, Applied
Ying Xu, Jun Ma
Summary: This paper investigates the temperature-induced pattern formation and synchronization stability in a two-dimensional lattice network of thermosensitive neurons. Numerical simulations are used to study the effects of parameters and temperature spatial gradient distribution on pattern formation and synchronization stability. The results show that controlling electrical synapse coupling and temperature spatial gradient distribution can affect the neural activities in terms of pattern selection and collective dynamic behavior.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Mechanics
Yan Liu, He Zhang, Yiming He, Yeyin Xu
Summary: A semi-analytical method is proposed to study the dynamics of the 3-D Hindmarsh-Rose model under periodic excitation, revealing an implicit mapping relationship. A new phenomenon of independent continuous periodic firing series is discovered for the first time. Saddle-node, periodic-doubling, and Neimark bifurcations occur in the system as the excitation frequency varies.
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Guoyuan Qi, Yu Wu, Jianbing Hu
Summary: This paper focuses on proposing a memristive Morris-Lecar neuron model and demonstrates the impact of different intensities of electromagnetic fields on the electrical activity patterns of neurons through numerical simulation. Additionally, the transition trend of neuron firing patterns is investigated using interspike interval analysis and other methods.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2021)
Article
Physics, Multidisciplinary
Mengjie Hua, Han Bao, Huagan Wu, Quan Xu, Bocheng Bao
Summary: This paper introduces a single neuron model with memristive synaptic weight and studies the complex neuron dynamics through numerical analysis and experiments, providing validation for the results.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Engineering, Electrical & Electronic
Han Bao, Chengjie Chen, Yihua Hu, Mo Chen, Bocheng Bao
Summary: This brief introduces a novel two-dimensional piecewise-linear neuron model to characterize the firing activities of a tabu learning neuron. The neuron model has an alterable equilibrium and its bifurcation mechanism is effectively analyzed. Coexisting bi-stable firing patterns are revealed, and parameter-related neuron firing activities are demonstrated by numerical methods. A analog electronic neuron circuit is implemented for verifying the coexisting bi-stable firing patterns.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Computer Science, Artificial Intelligence
Min Xiao, Wei Xing Zheng, Guoping Jiang, Jinde Cao
Summary: This article focuses on the hybrid effects of memristor characteristics, time delay, and biochemical parameters on neural networks. Various stability conditions and bifurcations in the memristor-based neuron system are examined, including the phenomenon of bistability for the delayed memristor-based neuron system. Theoretical results are demonstrated through numerical examples.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Physics, Multidisciplinary
Ying Xu, Jun Ma
Summary: Temperature influences ion channel activation and neuronal excitability, affecting neural activity modes. Autapse connections enhance neuron adaptability to stimuli, controlling firing patterns. Adjusting autapse intensity and time delay can control neural activity, balancing and enhancing temperature effects.
Article
Neurosciences
Zhe Zhao, Hui Ji, Cong Zhang, Jiamin Pei, Xiangjian Zhang, Yi Yuan
Summary: Through experiments on mice, it was found that ultrasound stimulation can significantly improve the whisker-dependent novel object discrimination ability of mice, enhance neuronal firing activity, and promote the growth rate of dendritic spines without promoting their extinction, resulting in enhanced synaptic plasticity. These results indicate that ultrasound stimulation can improve the learning and memory ability of mice and enhance the neuronal firing activity and synaptic plasticity that are closely related to it. This study provides a research basis for the application of ultrasound stimulation in the treatment of learning and memory-related diseases.
Article
Physics, Multidisciplinary
Weiwei Fan, Yiteng Wang, Ning Wang, Yufan Shan, Quan Xu
Summary: This article introduces a simplified mHH circuit with memristive sodium and potassium ion channels, and verifies its feasibility and effectiveness in generating various spiking behaviors through numerical simulations and experiments.
EUROPEAN PHYSICAL JOURNAL PLUS
(2023)
Article
Engineering, Mechanical
Zhao Yao, Kehui Sun, Shaobo He
Summary: This paper investigates a fractional-order FithzHugh-Nagumo neuron circuit constructed by fractional-order capacitor and inductor based on Adomain decomposition method. The impacts on firing patterns and Hamilton energy are also discussed with the variation of fractional orders. The simulation results suggest that the fractional-order FHN neural model is more suitable for modeling neural behaviors and has promising applications in constructing artificial neural networks.
NONLINEAR DYNAMICS
(2022)
Article
Neurosciences
Han Bao, Xihong Yu, Quan Xu, Huagan Wu, Bocheng Bao
Summary: A three-dimensional memristive Morris-Lecar neuron model is proposed to characterize the magnetic induction flow induced by neuron membrane potential. The effects of magnetic induction on firing activities and the bifurcation mechanisms of bursting patterns are explained using spiking/bursting firings and fast-slow analysis method. The model also demonstrates the ability to exhibit homogeneous coexisting bursting patterns when switching the memristor initial states.
COGNITIVE NEURODYNAMICS
(2023)
Article
Engineering, Mechanical
Bocheng Bao, Jingting Hu, Jianming Cai, Xi Zhang, Han Bao
Summary: This paper constructs a memristor-based neuron model and investigates the memristor effect in a discrete map as well as its impact on neuronal behavior. Numerical methods reveal complex mode transition behaviors, which are strongly dependent on the initial state of the memristor. Furthermore, a hardware platform is developed to demonstrate the effectiveness of the memristive neuron model in imitating firing activities of biological neurons.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Shoukui Ding, Ning Wang, Han Bao, Bei Chen, Huagan Wu, Quan Xu
Summary: This paper proposes a new neural network model based on memristors to simulate the electromagnetic induction effect between neurons. The theoretical analysis and numerical simulations investigate the multistability and various dynamic behaviors of the model, and a simple analog circuit is designed for verification.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Engineering, Electrical & Electronic
Xi Zhang, Tianshi Wang, Han Bao, Yihua Hu, Bocheng Bao
Summary: This study investigates the stability effect of the feedforward current ripple of a load converter on a source converter in a cascaded power converter. By establishing a map model, the instability mechanism of the source converter under variations of circuit parameters is expounded and the stability boundaries are obtained.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Mechanical
Mo Chen, Xuefeng Luo, Yunhe Suo, Quan Xu, Huagan Wu
Summary: This work presents a memristor-coupled homogeneous network consisting of two identical non-autonomous memristive Fitzhugh-Nagumo models and investigates its coexisting and synchronous behaviors. The numerical results reveal coexisting hidden chaotic, periodic, and quasi-periodic attractors, and their synchronicities are controlled by the initial condition and coupling strength of the coupling memristor. In addition, phase synchronization is easily achieved due to the existence of external stimuli, and these synchronous states are flexibly controlled by the initial conditions.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Han Bao, Ruoyu Ding, Bei Chen, Quan Xu, Bocheng Bao
Summary: This work proposes a 2-D non-autonomous tabu learning single neuron (TLSN) model based on sinusoidal activation function (SAF), which can generate a class of multi-scroll chaotic attractors with parameters controlling the number of scrolls. The equilibrium trajectories of the SAF-TLSN model with different stability types can be distributed in the phase plane, resulting in the generation of multi-scroll chaotic attractors. The numerical and experimental results confirm the relationship between the equilibrium trajectories and the scrolls of multi-scroll chaotic attractors.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Engineering, Mechanical
Bocheng Bao, Zhuowu Wang, Zhongyun Hua, Mo Chen, Han Bao
Summary: In this paper, an improved discrete tabu learning neuron (IDTLN) model is proposed, which uses sine nonlinearity as the activation function to show the abundant firing regimes of neurons. The theoretical analysis and numerical investigation demonstrate the parameter-related bifurcation, regime transition behaviors, and multi-scroll hyperchaotic attractors generated by the IDTLN model. Additionally, PRNGs based on multi-scroll hyperchaotic sequences provided by the IDTLN model are designed and evaluated for randomness, showing high randomness without chaos degradation. A digital hardware platform is also developed to verify the regime transition and multi-scroll hyperchaos of the IDTLN model.
NONLINEAR DYNAMICS
(2023)
Article
Physics, Multidisciplinary
Zhuowu Wang, Han Bao, Huagan Wu, Mo Chen, Bocheng Bao
Summary: In this article, a two-dimensional discrete adaptive synapse-based neuron (DASN) model without external excitation is proposed using Euler's discretization method. The proposed model has a complicated nonlinear activation function with upper and lower bounds, and its fixed points are not only variable in number, but also have different types of stability, resulting in the emergence of complex dynamics and multi-stability. The dynamical effects of control parameters and initial values on the DASN model are explored, revealing complicated dynamical behaviors such as hyperchaos, chaos, quasi-period, period, etc.
EUROPEAN PHYSICAL JOURNAL PLUS
(2023)
Article
Mathematics, Interdisciplinary Applications
Han Bao, Kang Rong, Mo Chen, Xi Zhang, Bocheng Bao
Summary: This article proposes a simple memristor-coupled Logistic map (MCLM) model, which couples two identical Logistic maps through a memristive coupler. Numerical methods reveal chaotic/hyperchaotic attractors with outstanding performance indicators, and demonstrate initial-related heterogeneous multistability and memristor initial-boosting homogeneous multistability based on the basins of attraction that have complex and fractal evolutions. The synchronous behaviors of the two Logistic maps in the MCLM model are examined, disclosing lag and complete synchronization behaviors dependent on the coupling strength and memristor initial condition, especially the homogeneous synchronization behavior boosted by the memristor initial condition. An MCU-based hardware platform is fabricated to experimentally validate the numerical results. Particularly, the initial-boosting synchronization has not been reported in the literature to the authors' knowledge.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Bocheng Bao, Qianhan Zhao, Xihong Yu, Huagan Wu, Quan Xu
Summary: Recently, discrete memristor maps can be directly constructed using discrete memristors. However, some discrete memristors with reciprocal polynomial memristances cannot be directly used to generate mapping models. To achieve an available memristive map, a simple and effective implementation scheme is proposed to construct a two-dimensional (2-D) sine-bounded memristive map (SBMM).
CHAOS SOLITONS & FRACTALS
(2023)
Article
Automation & Control Systems
Han Bao, Mengjie Hua, Jun Ma, Mo Chen, Bocheng Bao
Summary: In this article, a Memristor synapse with activated synaptic plasticity is introduced as an adaptive connection synaptic weight. An improved Hopfield neural network with two memristive self-connection synaptic weights is presented to demonstrate its kinetic effects. The stability distributions of the network are analyzed by analyzing the two nonzero roots of the eigenvalue polynomial. Bifurcation behaviors and phase portraits are used to investigate the parameter-related behaviors. Furthermore, the kinetic effects of memristor synapses are demonstrated by taking the memristor initial conditions as two invariant measures.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Mechanical
Quan Xu, Liping Huang, Ning Wang, Han Bao, Huagan Wu, Mo Chen
Summary: This paper introduces a two-dimensional memristive Chialvo neuron map with hyperchaotic dynamics by incorporating a memristor with sinusoidal mem-conductance function and hyper-tangent function modulated input into the one-dimensional Chialvo neuron map. The stability and dynamical behaviors of the map are analyzed theoretically and through numerical simulation. The results show that the 2D memristive Chialvo neuron map can generate initial-offset boosting behavior. Furthermore, a new encryption algorithm using hyperchaotic sequences is designed and tested, demonstrating good performance in image encryption.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Multidisciplinary
Han Bao, KeXin Li, Jun Ma, ZhongYun Hua, Quan Xu, BoCheng Bao
Summary: This paper presents an improved ID-Rulkov neuron model by coupling a memristor with a discrete Rulkov neuron model, and investigates the dynamic effects of the memristor on the neuron model. The experimental results demonstrate that the memristor enhances the diversity of the neuron model and generates hyperchaotic attractors.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Engineering, Mechanical
Quan Xu, Liping Huang, Ning Wang, Han Bao, Huagan Wu, Mo Chen
Summary: This paper introduces a memristive Chialvo neuron map with hyperchaotic dynamics, which can generate chaotic sequences with high randomness and without chaos degradation. The stability and dynamical behaviors of the map are disclosed through theoretical analysis and numerical simulation. By regulating the variable axis of the memristor, the homogeneous coexisting chaotic/hyperchaotic attractors can be controlled and boosted with the same periodicity of the sine mem-conductance. Furthermore, the feasibility of the map is experimentally validated on a digital platform. Additionally, a new encryption algorithm is designed using hyperchaotic sequences to encrypt images, which demonstrates good performance in image encryption according to multiple indicators and NIST test results.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Mo Chen, Ankai Wang, Huagan Wu, Bei Chen, Quan Xu
Summary: This article proposes a dc-offset strategy for flexible control of hidden and multistable dynamics. It demonstrates the feasibility of this strategy through a modified Chua's circuit with multiple dc control signals. The kinetic effects of these control signals are systematically demonstrated. The article also shows how to induce hidden and coexisting behaviors by configuring the initial voltages of capacitors using dc voltage signals.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(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)
