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 combinin g elements of a phased array in such a way that signals at particular angles experi ence constructive interference while others experience destructive interference. Here,s imulations are done on different types of Adaptive Algorithms in MATLAB and Simulink to de termine the desired signal from clutter/noise by updating its weight value for bett er execution speed and computational complexity and the characteristics of individual al gorithms are compared and their area of applications. Adaptive filter is a filter that s elf-adjusts its transfer function according to an optimization algorithm driven by an error sig nal. The adaptive beamforming algorithms are used to update the weight vectors pe riodically 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 i nterference sources.

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