Design Analysis of Intelligent Dynamically Phased Array Smart Antenna Using Dipole Leg and Radial Basis Function Neural Network

Abstract

The smart antennas are the antenna arrays with smart signal processing algorithms used to track and locate the antenna beam on the target. The idea of smart antennas is to use base station antenna patterns that are not fixed, but adapt to the current radio conditions. The DPA smart antenna may simplify the problem of design and implementation in comparison of adaptive or switched lobe method because of their capabilities of interference suppression, easy design and implementation. A simple DPA based smart antenna using dipole leg is proposed in this paper which makes it suitable for practical implementation without any compromise in its performance, thus avoiding the need for a high cost adaptive array. Side lobe magnitude and number of sidelobe are reduced by adding null point to the design of array signal in conventional Fourier series window method techniques. A control algorithm based on RBFNN technique is proposed to control the variations in shape and interference which provides the performance of DPA smart antenna equivalent to adaptive array technique. It effectively controls the directivity pattern variations without sacrificing the spectral performance of antenna array.