Design Of Yagi-Uda Antenna Research Articles

THE DEVELOPMENT AND ANALYSIS OF A WEARABLE TEXTILE YAGI-UDA ANTENNA DESIGN FOR SECURITY AND RESCUE PURPOSES

Advancements in technology have generated an escalating demand for robust mobile communication systems, highlighting the importance of wearable applications in diverse sectors such as biomedicine, military, and rescue services. This research underscores the crucial role of wearable antennas in addressing this growing need, with a specific focus on their design and development for applications within the Internet of Things (IoT). The primary objective is to establish resilient communication links capable of operating across various environments and weather conditions. Within this context, the investigation delves into the utilization of microstrip Yagi-Uda antennas renowned for their directivity, lightweight construction, low profile, and cost-effectiveness. The study introduces the simulated and fabricated design of a wearable Microstrip Yagi-Uda antenna optimized for operation at 2.45 GHz, applicable in health and rescue services. The antenna was analyzed by applying jeans textile as a substrate material and reached the return loss of -20.1 dB with an 8.5 dB gain. Jeans material as a substrate showed appropriate results to be applied in a wearable antenna.

Self-organizing surrogate-assisted non-dominated sorting differential evolution

Multi-objective optimization problems (MOPs) involve optimizing multiple conflicting objectives simultaneously, resulting in a set of Pareto optimal solutions. Due to the high computational or financial cost associated with evaluating fitness, expensive multi-objective optimization problems (EMOPs) further complicate the optimization process. Surrogate-assisted evolutionary algorithms (SAEAs) have emerged as a promising approach to address EMOPs by substituting costly evaluations with computationally efficient surrogate models. This paper introduces the self-organizing surrogate-assisted non-dominated sorting differential evolution (SSDE), which uses surrogate model based on a self-organizing map (SOM) to approximate the fitness function. SSDE offers advantages such as reduced computational cost, improved accuracy, and the speed of enhanced convergence. The SOM-based surrogate models effectively capture the underlying structure of the Pareto optimal set and Pareto optimal front, leading to superior approximations of the fitness function. Experimental results on benchmark functions and real-world problems, including Model-Free Adaptive Control (MFAC) and the Yagi-Uda Antenna design, demonstrate the competitiveness and efficiency of SSDE compared to other algorithms.

Design of the Wearable Microstrip Yagi-Uda Antenna for IoT Applications

Design of the Wearable Microstrip Yagi-Uda Antenna for IoT Applications

Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization

The hybrid real-binary differential evolution (HDE) algorithm has been proficient in addressing electromagnetic optimization problems (EOPs) involving both real and binary variables. However, its optimization performance on different control parameter (CP) settings is not further studied, and the method to determine the values of CPs is more likely to use the trial-and-error method, which lacks universality on both unimodal and multimodal benchmarks. To completely account for the effect of CPs in HDE, the Taguchi method is utilized to identify the values of each CP. The orthogonal experiment result is the average rank of the mean values of 23 benchmark functions obtained by HDE and other classic optimization algorithms. Based on the analysis of variance results, three CPs that have a major effect on the performance of HDE are selected, and each of them is changed from level 1 to level 5 to further obtain the best combination of CPs, which is indicated as HDEN1. To further enhance the local search ability of HDEN1 for the global best, a modified algorithm (HDEN2) is proposed based on a novel mutation strategy selection method, and the simulation results demonstrate that the minimum values obtained by HDEN2 are smaller than those obtained by HDEN1. Two EOPs, including planar microwave absorber and Yagi-Uda antenna designs, are solved to validate the performance of HDEN1 and HDEN2. The results reveal that the HDEN1 and HDEN2 outperform HDE, demonstrating the efficacy of the proposed method for identifying the CPs of HDE. In the end, a low profile and wideband RCS reduction pixelated checkboard metasurface is optimized utilizing the HDEN2, proving that the proposed algorithm can be a good candidate for hybrid real-binary electromagnetic problems.

Modelling and optimization of the linear tapered slot antenna

A key component of any phased array or radar sensor is its antenna. For ultra wide band systems usually four types of antenna are being used: microstrip, tapered slot, sinuous and Yagi-Uda. The microstrip antenna generates two main lobes, which makes it a bidirectional antenna, like the tapered slot, sinuous, or Yagi-Uda antennae. Several efforts had been made to shift the bidirectional character of the microstrip antenna into unidirectional by placing a ground plate to absorb the undesirable main lobe. These efforts successfully eliminated the undesirable main lobe; however, side effects were introduced along the way, such as the remaining main lobe’s direction became frequency dependent. On the other hand, the sinuous antenna design is very complex when compared with the tapered slot antenna, involving multiple curvatures and angles. The Yagi–Uda antenna design, although less complex than the sinuous, still requires multiple segments and is more complicated than the tapered slot antenna. This study examined and analyzed primary parameters regarding their individual impact on linear tapered slot antenna design. The result is a set of recommendations for linear tapered slot antenna design to operate within the UWB frequency range. Unlike previous studies, which only focused on a certain set of these parameters, this paper provides a comprehensive recommendation for the parameters, which should result in a functional tapered slot antenna design. This set of recommendation can also serve as a base for further optimization, if desired. When used for optimization, the results from this study can guide the direction of changes when multiple parameters need to be adjusted simultaneously. Furthermore, this set of recommendations can be applied to other tapered slot antenna designs, as they all share, although are not defined completely, by these investigated parameters.

Design of Yagi-Uda Antenna for CDMA Modems at 800 MHz

Nowadays CDMA and GSM modem technology are still widely used by the community, especially in rural areas and small towns that are quite far from the BTS location. This paper designs the Yagi-Uda antenna for CDMA modems on the 800 MHz frequency. The number of elements used is 1 driven, 1 reflector and 16 directors. The antenna design simulation uses NEC-Win Pro 1.6 and Ansoft HFSS 13.0 software. Simulations using NEC-Win get VSWR values 1.59 and S11 -13 dB (uses Matlab). Next, the simulation using Ansoft HFSS obtained the results of VSWR 200000 and S11 -9 dB. The simulation results also show that antenna design already has a directional radiation pattern.

Hybrid thermal Yagi-Uda nanoantennas for directional and narrow band long-wavelength IR radiation sources.

We investigate the possibility of spatially and spectrally controlling the thermal infrared emission by exploitation of the Yagi-Uda antenna design. Hybrid antennas composed of both SiC and Au rods are considered and the contributions of emission from all the elements, at a given equilibrium temperature, are taken into account. We show that the detrimental effect due to thermal emission from the not ideal parasitic elements drastically affect the performances of conventional thermal Au antennas in the 12 µm wavelength range. Nevertheless, our results show that the hybrid approach allows the development of efficient narrow-band and high directivity sources. The possibility of exploiting the Yagi-Uda design both in transmission and in reception modes, may open the way to the realization of miniaturized, efficient, robust and cheap sensor devices for mass-market applications.

Analysis and Design of 10-Element Yagi-Uda Antenna

Abstract The main aim of this paper is to come up with a 10-element Ultra High Frequency (UHF) aerial with optimal spacing that gives clear TV reception. A Yagi antenna is chosen for this study due to its high directionality, broadband capability, high gain and the availability of materials locally. An attempt is made to simulate the entire antenna and test it on a Samsung TV set.

Analysis and design of 10-element Yagi-Uda Antenna.

Analysis and design of 10-element Yagi-Uda Antenna.

Optimized planar terahertz Yagi-Uda antenna using hybrid GSA-PSO optimization algorithm

In this paper, a planar Yagi-Uda antenna design for Terahertz applications is presented and optimized. The lengths of Yagi-Uda antenna elements beside the spaces between directors’ elements are optimized seeking for obtaining high gain and minimum return loss simultaneously at 300 GHz. Thus, the directivity enhancement enables to overcome the high atmospheric attenuation influence that faces the high frequency range and limit its communication capabilities, and the return loss minimization enables to minimize the return loss to improve the impedance matching besides, reducing the mismatching losses. The Gravitational Search Optimization Algorithm with Particle Swarm Optimization algorithm (GSA-PSO) as a hybrid technique is applied on the antenna elements using an offline link between MATLAB program and Ansoft HFSS simulation program. To show the convergence capability of the GSA-PSO, the results are compared with those obtained by other algorithms such as gradient local algorithm and genetic global algorithm (GA). The optimized antenna showed high gain of 15.84 dB with a return loss of -45.27 dB compared to 15.4 dB and -15.6 dB for the conventional counterpart design, and with gain of 15.8 dB, and return loss of -21 dB for the genetic algorithm, and finally with 15.75 dB, and -28 dB for the gradient algorithm. Furthermore, the GSA-PSO algorithm improves the search capability by 30%, compared with the GA algorithm.

Brain Storm Optimization for Electromagnetic Applications: Continuous and Discrete

Brain storm optimization (BSO) is a swarm intelligence optimization algorithm inspired by the collective behavior of human beings in solving problems. This paper provides a conceptual overview and detailed explanation of the BSO algorithm. For the first time, the effectiveness of BSO in electromagnetic applications is demonstrated using a Yagi–Uda antenna design and a Luneburg lens antenna design, and this effectiveness is further validated via optimization, prototyping, and measurement of a dual-band slotted patch antenna design. In addition, a novel binary version of BSO (BBSO) for optimizing discrete problems is proposed, and the process of transforming the concept of BSO into a binary language is discussed in detail. A method for selecting algorithm parameter values for BBSO is shown. Finally, BBSO is applied successfully to an array thinning example and a pixelated patch antenna design.

Compact design of two-elements cubic Yagi-Uda array antenna with high gain

Compact design of two-elements cubic Yagi-Uda array antenna with high gain

Analysis and design of sea-water monopole Yagi-Uda antenna with pattern reconfigurability

In this article, a theoretical study of sea-water monopole Yagi-Uda antenna is presented. Unlike the conventional metal one, sea-water monopole is here treated as imperfect conductor. Based on this precondition, a methodology for analyzing sea-water monopole Yagi-Uda antenna is proposed by employing the 3-term theory and voltage-current relation. As such, both its input impedance and radiation pattern can be theoretically predicted. Commercial software packages ANSYS HFSS and CST Microwave Studio are used to verify the proposed methodology. Finally, a prototype is designed, fabricated, and tested. Due to the liquidity of sea water, the parasitic element can work as a director or reflector by altering its height to achieve pattern reconfigurability. Measured results show reasonably good agreement with the simulated and theoretical ones.

Minimizing yagi-uda radiosonde receiver antenna size using minkowski curve fractal model

This paper discusses Yagi-Uda antenna design for radiosonde earth station receiver. The design was performed by using Minkowski curve fractal model to reduce physical dimension. The antenna design should fulfil the following requirements: work on frequency of 433MHz, match to the 50 Ohm of radiosonde characteristic impedance, the expected gain is higher than 10 dBi, VSWR is smaller than 2 and the expected bandwidth is higher than 10 MHz. Antenna design and evaluation were conducted by using MMANA-GAL simulator. The evaluation of the designed antenna shows that the Yagi-Uda antenna designed by using Minkowski curve model successfully reduces antenna size up to 9.41% and reduces number of elements about 33%.

Antenna Design by an Adaptive Variable Differential Artificial Bee Colony Algorithm

Optimal design of antennas is very useful to attain narrow beam and low sidelobe, while keeping a low manufacturing cost. Artificial bee colony (ABC) algorithm has shown good performance in solving electromagnetic inverse problems. However, the ABC algorithm costs too much number of iterations and converges slowly in the antenna design. This paper proposes an adaptive variable differential method for ABC (AVDABC). This method adaptively decides the number of decision variables to be mutated. Existing modified ABC algorithms employ the same search equation in one iteration. The proposed adaptive variable method assigns different search equations to chosen decision variables in one iteration. The proposed AVDABC algorithm is more diverse than the existing ABC algorithms. Through numerical simulation on mathematical functions, AVDABC converges faster than three compared algorithms. Moreover, demonstrated by the design of sparse nonuniform antenna array and Yagi-Uda antenna, the AVDABC algorithm achieves promising performance. Thus, the proposed algorithm is helpful to solve antenna array design problems.

Method of Moment Determination of Current Distribution on Elements of Yagi-Uda Array

Presented in this paper is the numerical solution to the current distributions on two forms of Yagi-Uda antenna designs. One form consists of twelve elements while the other consists of fourteen elements. Employing method of moments technique in which the unknown current is expanded in terms of known expansion function and complex coefficients which are to be determined. It is demonstrated that, when the integral equation that expresses tangential component of an impressed field in terms of induced current on the elements of Yagi-Uda array is reduced into matrix form, the current distribution of interest becomes known. The profiles for the current distributions on elements of those arrays represented in graphical forms reveal that, the currents are symmetrical about the length of the element in each case. It is found that the highest magnitude of the current exists on the driven element. Furthermore, the characteristic profiles of the currents on elements of those arrays exhibit sinusoidal type of waveform and are largely similar when the frequencies of operation are 200MHz and 665MHz, respectively.

Design of Polyimide-Coated Yagi-Uda Antennas for Monitoring the Relative Humidity Level

Coating an antenna with a hydrophilic polyimide film has been reported to enhance the effects of atmospheric relative humidity on the characteristics of the antenna. In this letter, we designed Yagi-Uda antennas with polyimide-coated dipoles, and we performed a simulation study investigating the influence of atmospheric relative humidity on their resonant frequencies. We conclude that antennas of this type might constitute viable sensors for the measurement of atmospheric relative humidity, and hypothesize that in certain situations such sensors may have advantages over existing alternatives.

A design of nano-optical Yagi-Uda antenna with high forward directivity

A design of nano-optical Yagi-Uda antenna with high forward directivity

Smooth Moves in Power Transition: New Yagi-Uda Antenna Design for Wireless Energy

During last year?s International Microwave Symposium (IMS) in Phoenix, Arizona, the IEEE Microwave Theory and Techniques Society held its fourth Student Design Competition (SDC) in the category Wireless Energy Harvesting. Seven teams from different countries presented their designs during IEEE Microwave Week 2015.

Design of Pattern Reconfigurable Printed Yagi-Uda Antenna

Design of Pattern Reconfigurable Printed Yagi-Uda Antenna