ANALYSIS OF MICROSTRIP LINE FEED SLOT LOADED PATCH ANTENNA USING ARTIFICIAL NEURAL NETWORK

Abstract

In this article, the parametric analysis of the slot-loaded microstrip line feed patch antenna is investigated using artiflcial neural network model. The bandwidths of the proposed antenna obtained at TM01, TM02, and TM03 frequency modes are 10.2GHz, 13.6GHz, and 17.2GHz, respectively. The performance of the proposed antenna is analyzed using artiflcial neural network model. The changes obtained in bandwidth due to the position of slot length and slot width are reported. The antenna parameters such as return loss, VSWR, gain and e-ciency are also calculated. The simulated results obtained with the help of IE3D simulation software are trained and tested using ANN. Theoretical results are compared with simulated and experimental ones, and they are in close agreement. Microstrip antennas have sparked interest among researchers because of their attractive features like low proflle, light weight, and conformal to mounting structures, but they have two most serious limitations, narrow bandwidth and low gain (1). Available methods for the analysis of MSA have high level of complexity. Generally, there are two methods for analysis of microstrip antenna such as numerical method and analytical method. The numerical methods is complicated compared to analytical methods and require much more time, whereas, analytical methods are easy and specifled to only some deflnite shapes of microstrip antenna. An artiflcial neural network (ANN) is used here for reducing some of these problems. ANNs are computational tools that learn from experience (training), which provide fast and accurate models for microwave modeling, simulation, and optimization. Using artiflcial neural network microstrip patch antenna was reported by Vegni and Toscano (2) in which they proposed the analysis of MSA using artiflcial neural network. Further, Mishra and Patnaik (3,4) proposed a CAD model for the design of square patch antenna and artiflcial model for efiective dielectric constant of microstrip line. Later, CAD model using spectral domain formulation (5) was also reported for the designing of rectangular patch antenna. Therefore, Guney and Sarikaya (6) proposed a comparative study of MAMDANI and Sugeno fuzzy interface system models for the resonant frequency calculation of rectangular microstrip patch antenna. Several other papers have also used ANN model to analyze and synthesize the microwave circuits (7{15). Thakare and Singhal (16) proposed the analysis of broadband slot-loaded inset feed microstrip patch antenna using ANN model. Most of these papers are based on ANN model presented only simulated and experimental results. In this paper, we provide a theoretical investigation and compare its results with simulated and experimental ones. In this paper, the microstrip line feed slot-loaded patch antenna is proposed. Its theoretical, simulated and ANN results have also been verifled experimentally. The proposed antenna is investigated for triple frequency-band operation, so that single antenna can be utilized for more than one frequency bands. The theoretical analysis of the proposed antenna is discussed using circuit theory concept based on modal expansion cavity model whereas ANN used RBFNN model.