Optimization Of Microstrip Patch Antenna Research Articles

Design and Performance Optimization of Microstrip Patch Antenna for Wireless Communication Applications

Design and Performance Optimization of Microstrip Patch Antenna for Wireless Communication Applications

Hybrid optimization model for design and optimization of microstrip patch antenna

AbstractThe antenna design for a specified resonant frequency necessitates the computation of optimal values of different sizes. This is a harder task for microstrip patch antenna (MPA) since there is no precise numerical formula that leads to accurate solutions for designing these antennas. Presently, bio‐inspired approaches are widely deployed in numerous antenna designs and it has revealed an immense assurance in handling the rising necessities of antenna engineering for overall cost, reduced size, and enhanced performances. This work aims to introduce an optimal MPA design, where the antenna elements like patch length, patch height, substrate width, and substrate length are optimally tuned by a new hybrid optimization model. For this, a new hybridized model known as shark smell integrated EHO is proposed. Eventually, the primacy of the suggested model is scrutinized via varied assessments.

Design and Optimization of Microstrip Patch Antenna Using Oval Patch and Parasitic Elements

We are use two microstrip patch antenna in order to examine the importance of parasitic elements having most interested topic. However, both antenna having same oval patch. While first has only oval patch and another has two additional oval parasitic elements. Then we check the angular rotation of the patch and the parasitic element. To arrange the angular rotation from 0 0 to 600 by increasing 150 from this reading we check the return loss and radiation pattern result for each 150 rotation of the angle. From a reading, we found that, the parasitic element down shift in -10dB impedance bandwidth and to increase in somewhat bandwidth. We found the highest bandwidth for the rotation angle of 150 and 300 respectively. From this maximum gain is 4.16dbi. Therefore, we use both antennas for s-band radar application

Design and Optimization of Microstrip patch Antenna via Improved Metaheuristic Algorithm

Design and Optimization of Microstrip patch Antenna via Improved Metaheuristic Algorithm

Artificial intelligence using Nelder-Mead algorithm- based design and performance optimization of microstrip patch antenna

Artificial intelligence systems are one of the important machines in performing operations that are difficult to perform traditionally. Optimization is one of the difficult and delicate processes that AI can be used to accomplish, especially if the optimizations are too small for antennas like microstrip patch antenna. A Microstrip patch antenna is considered one of the most widely used antennas that vary from lightweight wireless devices to airplanes and airspaces applications. One of the most attractive points about those antennas is their lightweight, small size, and ease of fabrication process. Although this antenna has many advantages, it suffers from some drawbacks like low gain and limited bandwidth. In this paper, we are presenting an optimization process by using the Nelder-Mead algorithm to achieve a new design of patch antenna that offers a broader bandwidth and higher gain. This design is achieved by optimizing the dimensions of the width and the frequency of the antenna. The results show that this device is responding perfectly at 1.471GHz and the ranges of substrate dimensions and relative permittivity affect the device performance and behavior.

Artificial intelligence using Nelder-Mead algorithm- based design and performance optimization of microstrip patch antenna

Artificial intelligence systems are one of the important machines in performing operations that are difficult to perform traditionally. Optimization is one of the difficult and delicate processes that AI can be used to accomplish, especially if the optimizations are too small for antennas like microstrip patch antenna. A Microstrip patch antenna is considered one of the most widely used antennas that vary from lightweight wireless devices to airplanes and airspaces applications. One of the most attractive points about those antennas is their lightweight, small size, and ease of fabrication process. Although this antenna has many advantages, it suffers from some drawbacks like low gain and limited bandwidth. In this paper, we are presenting an optimization process by using the Nelder-Mead algorithm to achieve a new design of patch antenna that offers a broader bandwidth and higher gain. This design is achieved by optimizing the dimensions of the width and the frequency of the antenna. The results show that this device is responding perfectly at 1.471GHz and the ranges of substrate dimensions and relative permittivity affect the device performance and behavior.

Design and Optimization of Microstrip Patch Antenna for UWB Applications Using Moth–Flame Optimization Algorithm

The design of microstrip patch (MP) antenna using Moth–Flame optimization (MFO) algorithm for UWB applications is presented in this article. MP antennas are designed to operate in dual and multi-band application as it possess the following advantages such as low cost, light weight and easy installation. To reduce the microstrip patch cross-polarized radiation and to attain the essential radiation parameters, the MP antenna is designed with a defected ground structure. The substrate of liquid crystal polymer is used here to reduce the material cost and the applicable geometry parameters are used to improve antenna performance. The MFO optimized antenna represents 50 mm × 50 mm compact size, which improves the performance of antenna. However, the simulation procedure is done by the MATLAB tool along with high frequency structure simulator for parameter optimization and performance analysis respectively. The operational bandwidth of the antenna is 3.1 GHz and the return loss is − 20 dB that covers the UWB (3.1–10.6 GHz) applications. The simulation outcomes exhibit good impedance bandwidth, radiation pattern, directivity, and relatively constant gain over the entire band of frequency comparing with the earlier methods. Finally, the proposed system can be a better option for the design of microstrip antenna in the communication system, to cover Bluetooth operations, Wi-Fi, Wi-MAX, Telemedicine and UWB applications.

Mutation probability-based lion algorithm for design and optimization of microstrip patch antenna

The advantages and performance of microstrip patch antennas (MPA) namely, reduced weight, reduced profile, and reduced cost formulate them the ideal choice for communication networks. However, the difficulties in structure size and design remain a major concern. Hence, this paper aims to propose a new model that derives a nonlinear objective model for helping in the design of solution space of antenna parameters. To attain this, it is planned to incorporate the optimization concept, thereby a new mutation probability based lion algorithm (MP-LA), which is proposed for the tuning MPA constraints. The main objective model of the antenna design is to maximize the gain by optimizing the patch length, width, thickness of substrate, and value of dielectric substrate. After executing the simulation model, this paper compares the performance of proposed MP-LA-based antenna design with numerous conventional approaches namely, antenna design without optimization, artificial bee colony-based AD, genetic-based AD, firefly-based AD, part icle swarm optimization-based AD and grey wolf optimization-based AD, proposed GWO-based AD and lion optimization algorithm-based AD. Moreover, the analysis is done with respect to radiation pattern, E-plane, and H-plane of proposed and conventional antenna designs. Other performance analysis on characteristics impedance, directivity, efficiency and gain of proposed and conventional models is done.

Design and Optimization of Microstrip Patch Antenna using Artificial Neural Networks

In this paper a Neural Network model for the design of a Microstrip Patch Antenna for an Ultrawideband frequency range is presented. The reduced ground size is used to enhance bandwidth in proposed design. The results obtained from the proposed method are compared with the results of EM simulation software and are found to be in good agreement. The advantage of the proposed method lies with the fact that the various parameters required for the design of a Microstrip Patch Antenna at a particular frequency of interest can be easily extracted without going into the rigorous time consuming, iterative design procedures using a costly software package. In the paper staircase patch design is considered for ultra-wideband matching of Antenna. The results obtained from artificial neural network when compared with experimental and simulation results, found satisfactory and also it is concluded that Radial Basis Function (RBF) network is more accurate and fast for the proposed design.

A Survey on Design and Optimization of Microstrip Patch Antenna

Microstrip patch antenna is among the important elements of modern wireless communication systems and hence its designing and optimization has become an important aspect for improving the overall performance of the system. In this paper microstrip patch antenna geometry has been discussed along with the performance analysis of various papers over which the survey was conducted. The main objective behind writing this paper is to provide researchers with background of microstrip patch antenna geometries and optimization techniques so as to make it easier for researchers to choose the method best suited to their aims. Future scope of the study is also given which will help in further advancements in the optimization of microstrip patch antenna.

Dimension Optimization of Microstrip Patch Antenna in X/Ku Band via Artificial Neural Network

This paper is aimed at designing the effective shape of a microstrip patch antenna for X Band (8 to 12GHz) and Ku Band (12GHz to 18GHz). Artificial Neural Network is used for optimizing microstrip antenna dimensions. The Network takes the different microstrip antenna parameters as inputs and delivers its dimensions in the X/Ku Band satellite communication. The error and validity analysis of neural network results are carried out in Matlab. Finally, HFSS simulation software results for prototype microstrip antenna, which has the best antenna parameters, is compared with real value.

Optimization of I-shape Microstrip patch antenna using PSO and curve fitting

This paper presents an optimization of Microstrip patch antenna, based on Particle Swarm Optimization (PSO) with curve fitting. An I shape antenna is used to demonstrate the optimization technique. An initial antenna is designed by cutting slots in rectangular patch to form shape I. By varying different parameters of the antenna, the data for developing PSO program in MATLAB is obtained. For Simulation, software IE3D and Graphmatica is used for Curve Fitting. Thus the optimized antenna is obtained, and finally the performance of the initial antenna is compared with the PSO optimized antenna. The result yields that obtained antenna have resonance near at 2.4 GHz and it also shows remarkable improvement over Fractional Bandwidth. For the Microstrip line feed I shape antenna, the Fractional Bandwidth is increased by 25 % as compared to the initial antenna.

Optimization of a broadband directional gain microstrip patch antenna for X–Ku band application

In this paper, optimization of a microstrip patch antenna is presented. The optimization uses a genetic algorithm in the IE3DTMSimulator. The optimization is done in several steps, first by changing the position of parasitic patches on the top layer, second by placing a feeding patch at the middle layer of geometry, and third by indirect coupling between the top and middle layer patches. Overall, we have performed many possible iterations and found appropriate geometry. From this appropriate geometry we have achieved maximum directional gain (6.2–8.8 dBi) over a 6 GHz bandwidth slot, 38% impedance bandwidth of the X-band and 14.8% impedance bandwidth of the Ku-band. The broadband frequency of operation is demonstrated by single geometry. The geometry of a single probe fed rectangular microstrip antenna incorporating a slot, gap coupled with a parasitic and an active patch on geometry, has been studied. We have investigated the height between active and parasitic patches as 0.0525λ and the height between parasitic patches itself as 0.0525λ. We have investigated the enhancement in maximum directional gain by stacking geometry with one active patch and two parasitic patches of different dimensions. This optimized antenna is used for X-band and Ku-band applications. The hardware validation and simulation results are matched to the proposed design.

Application of genetic algorithm to the optimization of resonant frequency of coaxially fed rectangular microstrip antenna

Microstrip antenna is gathering a lot of interest in communication systems. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of microstrip patch antenna. In this paper, genetic algorithm has been used for optimization of resonant frequency of coaxially fed rectangular microstrip antenna. The investigation is made at 3 different frequencies 3GHz, 5GHz and 10GHz respectively. Patch length, patch width & feed position are taken as optimization parameters. Return loss and radiation pattern for the optimized antenna are verified using IE3D software. Accuracy of the results encourages the use of genetic algorithm. Keywords - Rectangular microstrip antenna, genetic algorithm, resonant frequency, IE3D.

Optimization of Microstrip Patch Antenna on C band and X band with Radome Effect

Microstrip patch antenna is versatile and vast field of antenna theory. A particular aspect of work done in this field is presented. In addition a different antenna configuration that improve electrical performance and sustainability is described. We analyzed microstrip antenna in IE3D by finite moment of method. The proposed antenna designs have been analyzed between 1GHz to 20 GHz. When the proposed antenna design of different geometries (i.e. Rectangular, Triangular and Circular) were examined for the two dielectrics i.e. RT duroid 5870 with dielectric constant 2.33, loss tangent 0.0005 and Ferro A6M, LTCC with dielectric constant 5.9, loss tangent 0.0012 the results are : For rectangular geometry return losses = -22 dB, VSWR = 1.238, Z = 60.83 Ω at 6 GHz; For triangular geometry return losses = -12.2 dB, VSWR = 1.648, Z = 78.35 Ω at 10 GHz, For circular geometry return losses = -15.5 dB, VSWR = 1.409, Z = 36.65 Ω at 10 GHz. General Terms Rectangular microstrip patch antenna, Triangular patch antenna, Circular patch antenna.