TRM ANTENNA FAILURE USING GENETIC ALGORITHM

Volume: 2    Issue: 4

Year of Publication: 2015

Pages: (8-12)

Authors: Diksha Gupta, Dr. Sunil Kumar

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Abstract

TRM array antenna is working in wireless communication networks. There are plentiful of drawback that can take place although the transmission of the data. The furthermost imperative drawback is of antenna is specifically its failure. In addition to this, if any receiving antennas get damaged, it is difficulty from a routing table to generate a routing set which is feasible without damaged antenna. Formerly the whole emission arrangement acquires inarticulate, customarily because of amplified SLL. In this paper, genetic algorithm has been used for the optimization of TRM antenna failure. During the operation of an array antenna system TRM failure can occur at any time. When a TRM failure occurs the TRM is supposed to be turn off as we know Genetic algorithm is more powerful for problems with one or more variables and local minima. So, genetic algorithm is very efficient for the implementation of array antenna structure. The whole system has taken place in MATLAB environment.

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Keywords

TRM, TRM antenna failure, Genetic Algorithm, SLL.