Volume 7 Issue 2 - July 2016

  • 1. Design and analysis of microstrip patch antenna using soft computing

    Authors : Ashish Kumar Singh, Mahesh Shankar Pandey

    Pages : 282-290

    DOI : http://dx.doi.org/10.21172/1.72.546

    Keywords : Cloud computing, Microstrip patch antenna, Neural Network, Matlab Software, IE3D.

    Abstract :

    Microstrip patch antenna used to send onboard parameters of article to the ground while under operating conditions. The aim of the project is to design and fabricate an probe-fed Rectangular Microstrip Patch Antenna and study the effect of antenna dimensions Length (L), and substrate parameters relative Dielectric constant (╬Ár), substrate thickness (t) on the Radiation parameters of Bandwidth and Beam-width through the Neural network. This paper presents the general design of Microstrip antennas using artificial neural networks for rectangular patch geometry. The design consists of synthesis in the forward side and then analyzed as the reverse side of the problem. In this work, the neural network is employed as a tool in design of Microstrip antennas. The Neural network Training algorithms are used in simulation of results for training the samples to minimize the error and to obtain the geometric dimensions with high accuracy for selective band of frequencies.

    Citing this Journal Article :

    Ashish Kumar Singh, Mahesh Shankar Pandey, "Design and analysis of microstrip patch antenna using soft computing ", https://www.ijltet.org/journal_details.php?id=906&j_id=3250, Volume 7 Issue 2 - July 2016, 282-290, #ijltetorg