LMS Algorithm and Neural Network for Optimizing the Phased Array Antenna Radiation Pattern

This paper describes a usual application of LMS neural networks algorithm for evolving and optimizing of antenna array. The neural network allows not only establishing important analytical equations for the optimization step, but also a great flexibility between the system parameters in input and output. This research is based on some software that works on algorithms for thesimulation of the beamforming techniques. Furthermore, the research has shown theresponse of the system before and after the use of adaptive algorithm. The results showed that the output for four-element antenna array pattern produces a narrower beam with the same amplitude, as that of the main beam before applying neural network. Along with a narrower beam, comes another positive result, that is, the reduction of side-lobes more than 5 decibels in comparison to the related work