Study and Simulation of Smart antenna using SMI and CGM Algorithm
Neha Shrivastava · 2012
This paper presents, conjugate gradient method (CGM) and sample matrix inversion method to adapt the weights vector of the smart antenna system. The radiation pattern of the proposed antenna system is adjusted to emphasize the desired signal by orienting the main beam toward it and eliminate the interfering signals perfectly by pointing nulls in their directions. The main aim of the paper is , beam-forming using conjugate gradient method and sample matrix inversion which helps the smart antenna to track mobile targets, communicate directionally with the desired users, suppressing interference and covering a long range with high throughput. RF spectrum is a limited resource and is becoming crowded day by day due to the advent of new technologies. The sources of interference are increasing as well and hence interference is becoming the limiting factor for wireless communication. Smart Antenna adapts its radiation pattern in such a way that it steers its main beam in the DOA (direction of arrival) of the desired user signal and places null along the interference. It refers to a system of antenna arrays with smart signal processing algorithms.