Design of microstrip patch antennas using neural network

Microstrip antenna design using artificial neural networks. Artificial neural network to design of circular microstrip. According to neural network design results an antenna was made. Oct 16, 20 demand for fast and enough accurate computations can be satisfied using neural network models. Neural network trained on data dictionary have been applied to. The proposed technique can be fruitfully used in microwave and millimeter wave cad applications. It transforms the data containing the dielectric constant. The feed forward back propogation algorithm, levenburgmarquardt algorithm lma and radial basis functions rbf of ann is used to design the parameter of rectangular microstrip patch antennarmpa. Artificial neural network, c slot, microstrip antenna, multilayer feed forward networks, radial basis function artificial neural network, resonance frequency. Pdf design and analysis of microstrip patch antennas using. A fast method for the design of circular and equilateral triangular microstrip antennas, based on a neurofuzzy network, is presented.

This work studies microstrip patch antenna design using artificial neural network optimized by pso particle swarm optimization algorithm. Design and analysis of microstrip antenna using rbfnn for. Demand for fast and enough accurate computations can be satisfied using neural network models. Nayak, chetana and kumar, pramod 2017 optimized design and analysis of microstrip antenna using artificial neural network. Artificial intelligence in the estimation of patch dimensions of. The calculation of antenna parameters using the artificial neural networksanns is an interesting part of the book. This work studies indepth different designs and analysis methods of microstrip patch antenna using artificial neural network and different network structure are also described from the rf. Design and optimization of microstrip patch antenna using. Design of microstrip patch antennas using knowledge insertion. Reddy, design of microstrip antenna using artificial neural networks, international.

The proposed antenna design by using ie3d software based on method of moment mom. An ann model has been developed and tested for rectangular patch antenna design. In international conference on current trends in computer, electrical, electronics and communication, ctceec 2017 pp. The paper presents the quasi newton model of artificial neural network for design of circular microstrip antenna msa.

Resonant frequency of microstrip antenna using artificial. Synthesis of elliptical patch microstrip antenna using artificial neural network. Artificial neural network to design of circular microstrip antenna by sami bedra. Efficient reconfigurable microstrip patch antenna modeling. The results obtained from the proposed method are compared with the results of ie3d and are found to be in good agreement. Design of microstrip patch antenna using ann artificial neural networks anns are one of the popular intelligent techniques in solving engineering problems. Optimized design and analysis of microstrip antenna using. Design of miniaturized dualband microstrip antenna for wlan application wireless local area network wlan is a technology that combines computer network with wireless communication technology.

In this design procedure, synthesis is defined as the forward side and then analysis as the reverse side of the problem. A general design procedure is suggested for microstrip antennas using arti. Here three different kinds of artificial neural networks have been used. Keywords neural networks, applications of neural network, land mobile radio cellular systems, antennas, microstrip antennas, antenna arrays, multiband antennas, wideband antennas. University of batna, algeria abstract a simple design to compute accurate resonant frequencies of circular microstrip antennas using artificial neural networks. The design of circular microstrip patch antenna by using. Most of the created neural models are based on software simulation. A computeraided design model based on the artificial neural network ann is proposed to directly obtain patch physical dimensions of the singlefeed cornertruncated circularly polarized microstrip antenna cpma with an air gap for wideband applications. The estimation of bandwidth with the variation of these slots has been trained and tested using ann. Find 144 resonant frequency of emas with various dimensions and electrical parameter. Microstrip antenna design using neural networks optimized. Apr 24, 2018 the traditional way of analyzingdesigning neural network is to collect experimental data and train neural network. Resonant frequency of circular microstrip antenna using.

The design of rectangular microstrip patch antenna using artificial neural network ann has been presented. As the neural networks show massive parallelism inherently, a parallel hardware needs to be created for creating faster computing machine by. However, the stacked patch structure has a number of geometrical variables which need to be optimized to achieve the desired characteristics. Design of microstrip patch antennas using neural network ieee. Numerical results obtained by using this technique agree quite well with the moment method results. Since a conventional microstrip patch antenna is inherently a narrowband radiator, stacked patch antennas are commonly used either to enhance the bandwidth or to achieve multiband characteristics. A new model based on artificial neural network ann is presented for calculating radius of csma. International conference on current trends in computer, electrical, electronics and communication, 08092017, vvce mysuru. Design of circular microstrip antenna using artificial. The design consists of synthesis in the forward side and then analyzed as the reverse side of the problem. Estimation of effective dielectric constant of a rectangular. Microstrip antenna, artificial neural networkann, resonant frequency i.

Two parallel slots have been inserted on the patch of msa. In this model, a closed form expression is used for accurate determination of the resonant frequency of circular. The microstrip patch antenna can also be designed using an artificial neural network ann modeling technique where size of the antenna is major limitation especially in mobile and wireless applications. Introduction in 1990, hansen and salamon creatively put forward the nne method. Threeelement vectors of cartesian coordinates in meters. Design and analysis of microstrip patch antennas using artificial. A general design procedure is suggested for microstrip antennas using artificial neural networks and this is demonstrated using rectangular patch geometry. Ann is used for modeling of antenna design problems to obtain a surrogate based model instead of a computationally intensive 3dem simulation. International conference on signal processing and integrated networks, pp. Neural network based cad model for the design of rectangular. Cpwfed square patch compact antenna for c and x band applications. Abstractin this paper a neural network model for the design of a microstrip patch antenna for an ultra wideband frequency range is. The patchmicrostrip object is a microstrip patch antenna. This paper used feed forward back propagation algorithm ffbpn, resilient backpropagation rprop, levenbergmarquardt lm and radial basis functions rbf of ann to obtain the resonant frequency of rectangular microstrip patch antenna.

The feed forward back propogation algorithm, levenburgmarquardt algorithm lma and radial basis functionsrbf of ann is used to design the parameter of rectangular microstrip patch. Then, the trained neural network acts as global approximate function. Radius of circular patch has an important role in the designing of circular micro strip antenna csma. In this chapter, analysis and synthesis problems for designing of microstrip patch antennas were discussed using the artificial neural network technique. Antenna projects using hfss electronics electrical projects. Model for calculation of patch radius of circular microstrip. The artificial neural network is used in predicting the radius of the circular microstrip antenna as a function of the resonant frequency. Research article open access design of microstrip antenna. In this case, each vector starts at the origin and lies along the specified points on the x, y, and zaxes.

Neural processing presents a different way to store and manipulate knowledge. This paper presents the designing of a rectangular microstrip antenna using multi layer preceptron mlp neural network model. Dimension optimization of microstrip patch antenna in xku. The main drawback of this method is one does not have enough experimental data, cost of prototypes being a major factor 14. Design of circular microstrip antenna using artificial neural. A procedure to design stacked microstrip patch antennas based. Artificial neural networks applied to the design of. Design of rectangular microstrip patch antenna based on artificial.

The eshaped microstrip antenna emas is a type of microstrip antenna, which are design in this paper. The design consists of synthesis in the forward side and then. The artificial neural network model is simple and is very useful for computer aided design cad of such types of micro strip antennas and other similar applications. A new method of calculation of patch dimensions of a rectangular microstrip patch antennas using artificial neural network ann has been adopted in this paper. In the last one decade, neural networksbased modeling has been used for computing different performance parameters of microstrip antennas because of learning and generalization features. Bandwidth enhancement of patch antennas using neural network. Microstrip antenna design using artificial neural networks article in international journal of rf and microwave computeraided engineering 201. Designing of eshaped microstrip antenna using artificial.

Microstrip antenna design using neural networks optimized by. In this design procedure, synthesis is defined as the forward side. Microstrip antenna design using neural networks optimized by pso abstract. Artificial intelligence in the design of microstrip antenna. Optimized design and analysis of microstrip antenna using artificial neural network. An artificial neural networkbased synthesis model is proposed for the design of singlefeed circularlypolarized square microstrip antenna cpsma with truncated corners. To take account of the effect of the air gap, an equivalent relative permittivity is introduced and adopted to calculate the resonant. Study, analysis and design of rectangular microstrip patch. The analysis of multiband microstrip antenna msa using neural network nn through radial basis function rbf has been descibed in this paper. Ieee antennas and wireless propogation letter, vol. Abstract in this paper an artificial neural network ann model has been developed for design of circular microstrip patch antenna. Singh design of rectangular microstrip patch antenna based on artificial neural network algorithm 2nd international conference on.

Citeseerx document details isaac councill, lee giles, pradeep teregowda. Jain, bandwidth enhancement of patch antennas using neural network dependent modified optimizer, international journal of microwave and wireless technologies, 10. Design and analysis of microstrip patch antennas using. It is useful for the computeraided design cad of microstrip antennas. The book gives an overview of artificial neural network ann and the use of artificial neural network ann to calculate the design parameter microstrip patch antennas. Comparative analysis of different artificial neural networks. Dec 23, 20 the artificial neural network model is simple and is very useful for computer aided design cad of such types of micro strip antennas and other similar applications. In this paper, the analysis and design of rectangular microstrip patch antenna by using various algorithms used in artificial neural network ann is presented. Design of rectangular microstrip patch antenna based on. Artificial neural network model for suspended rectangular. Hardware neural networks modeling for computing different.

The experiment result shows that artificial neural network can improve the level of computeraided design of micro strip antenna and achieve the antenna design quickly. Optimization of antenna parameters using artificial neural. Request pdf design of microstrip patch antennas using neural network this paper presents the general design of microstrip antennas using artificial neural networks for rectangular patch geometry. The reconfigurable microstrip patch antennas have been considered to ensure operational frequencies for different kind of purposes. Citeseerx artificial neural networks applied to the design. This paper presents the general design of microstrip antennas using artificial neural networks for rectangular patch geometry. Aug 09, 2012 this work presents a neural network model for the design of microstrip antenna for a desired frequency between 3. The major advantage of the proposed approach is that, after proper training, proposed neural model completely bypasses the repeated use of complex iterative process for. Microstrip antennas became very attractive due to their features like small dimensions, simplicity, conformability and low cost of production. The result calculated by ann model is in very good agreement with the experimental result and the result reported by other methods available in many literatures. Design of microstrip patch antennas using neural network. Neural models for calculating the resonant frequency of electrically thin and thick rectangular microstrip antennas, based on the multilayered perceptrons and the radial basis function networks.

A novel method of using artificial neural networks anns for the calculation of the resonant frequency of electrically thick and thin circular microstrip patch antenna has been adopted in this paper. Introduction microstrip antennas due to their many attractive features have drawn attention of industries for an ultimate solution for wireless communication. The results obtained from artificial neural network when compared with. In this model, a closed form expression is used for accurate determination of the resonant frequency of circular microstrip patch antenna. The network is then used to calculate parameters for unknown configurations. Design of rectangular microstrip patch antenna based on artificial neural network algorithm. A neurofuzzy network for the design of circular and.