Performance Analysis of Adaptive Linear Array

Abstract

In modern communication networks, the smart antenna has been one of the most applied technologies. Instead of conventional antennas, Smart antenna, which is also called a digitally beam-formed array. Antenna beamforming system offers high guidance, narrow beamwidth, small side-lobes, point-to-point patterns, and preferred-pattern features. There is much application of the fastest algorithms like Satellite communication, Terrestrial communication, RADAR, SONAR, Hydrology, Climatography, Ecology, etc. There is a requirement in radar to fastest object detection which depends on the fastest converging method. If the converging method is fast we will detect the object as fast as possible. Especially adaptive beam-forming is required where signals are dynamically rich; the angle of arrival of which is changing continuously over time. It has been a challenge to maintain an effective convergence rate and a low mean distortion of quadrature error for adaptive beamforming. In this thesis, several adaptive techniques are analyzed to determine the fastest adaptive algorithm and low mean distortion of the square error. For the fastest convergence, the ALMS adaptive beamforming is proposed. Extensive numerical simulation tests are used to verify the proposed strategy.