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In order to design a highly effective communication system, antenna plays a vital role and antenna array adds to the performances. And to achieve such a goal, the crucial challenge is to determine the optimum spacing between the elements and their excitations. In order to address this issue a novel optimization technique named as enhanced ant lion optimization (e-ALO) algorithm has been developed...
Spherical antenna array is mathematically modelled and subjected to radiation synthesis using Differential Evolution(DE),Simplified Swarm Optimization(SSO)and Cuckoo search(CS).This paper deals with the geometrical adjustments of a conformal antenna array with the aid of optimization techniques in order to generate a co-secant squared pattern distribution which is a means of achieving a uniform signal...
A closed-form expression is produced for the array factor of the electronically scanned, general hexagonal geometry. The underlying arguments depend upon a rotational, symmetry cleavage of the hexagon into six congruent planar geometries. and, for each such planar, the adoption of phase change in the observation space. The geometry is experimented to produce a radiation pattern which represents Bessel...
A synthesis method to design a uniform linear antenna array, based on the ecology and social behavior phenomenon of animals is presented. The main Objective is to perform a rigorous determination of parameters involved in the beam pattern synthesis of antenna arrays with moderate sizes. The main objective of this work to conceive jointly the optimum amplitude and phase of the array elements using...
The document, which includes blank pages, was not presented at the conference and therefore was not made available for publication as part of the conference proceedings.
In this paper, modeling, analysis and design of synchronous buck converter for low power photo-voltaic (PV) energy system is presented. For analyzing the performance such converter, first we studied the characteristics of PV array under different values of irradiance and temperature. Then the exquisite design of synchronous buck converter with the application of State Space Averaging to implement...
This paper presents a new approach to equalization of communication channels using RBF neural networks as a classifier. Abundant research has been done in using neural network for the problem of channel equalization. The classical gradient based methods suffer from the problem of getting trapped in local minima. And the stochastic methods which can give a global optimum solution need long computational...
This paper presents a new approach to equalization of communication channels using artificial neural networks (ANNs). A novel method of training the ANNs using Tabu based back propagation (TBBP) algorithm is described. The algorithm uses the Tabu search (TS) to improve the performance of the equalizer as it searches for global minima which is many a time escaped while back propagation (BP) algorithm...
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