Simulations of Adaptive Algorithms for Spatial Beamforming

The main aim of this paper is to simulate different types of Adaptive Algorithms for Spatial Beam forming, which is achieved by combining elements of a phased array in such a way that signals at particular angles experience constructive interference while others experience destructive interference. Here, simulations are done on different types of Adaptive Algorithms in MATLAB and Simulink to determine the desired signal from clutter/noise by updating its weight value for better execution speed and computational complexity and the characteristics of individual algorithms are compared and their area of applications. Adaptive filter is a filter that self-adjusts its transfer function according to an optimization algorithm driven by an error signal. The adaptive beamforming algorithms are used to update the weight vectors periodically to track the signal source in time varying environment by adaptively modifying the system’s antenna pattern so that nulls are generated in the directions of the interference sources. INDEX TERMS Adaptive Algorithms, Spatial Beamforming, weight vectors, antenna pattern.