Design and Analysis of Microstrip Patch Antennas Using Artificial Neural Network

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. In this chapter, analysis and synthesis problems for designing of microstrip patch antennas were discussed using the artificial neural network technique. An analysis problem refers to calculation of resonant frequency of microstrip patch antenna whereas a synthesis problem refers to calculation of dimensions of patch antenna. Both problems are reciprocal of each other. Results are implemented using graphical user interface (GUI) tools of MATLAB programming language. Back‐propagation training algorithm of artificial neural network is used to train the network for minimization of error and computation time. Therefore, the geometric dimensions of patch are obtained with high accuracy in less computation time as compared to simulation software

DESIGNING OF HEXAGON SLOTTED MIMO ANTENNA FOR WIRELESS APPLICATION

<p>The wireless system capacity can be increased by the use of multiple antenna at transmitting and receiving side. The technology which uses multiple antennas called multiple input multiple output used to fulfils the demand of higher bit rate.  In this paper two element antennas has designed using MIMO technique for dual band application and produced better isolation characteristics.  In the proposed structure the high isolation was achieved using triangular and hexagonal cut structure. The presented simulated result produced low value of ECC and optimum value of VSWR in the given frequency band. The value of S12 is found less than -18 dB. The value of ECC is obtained 0.015 at 5.3 GHz.  The proposed antenna operates in two frequency applications which are 3.59 GHz and 5.3 GHz.</p