DRLMS, DFELMS, LMS adaptive beamforming algorithms for smart antenna system

Smart antenna technology provides directed radiation pattern towards desired direction, reduced interference better capacity to wireless communication system. Adaptive algorithms are used by smart antenna to compute the complex weight coefficients in a way that it directs main lobe towards desired user and places null towards undesired user. This paper presents comparative analysis of least mean square (LMS), decision feedback equalizer based least mean square (DFELMS) and data reusing least mean square (DRLMS) algorithms on the basis of beam pattern. Implementation is done with the help of MATLAB7.14. The results shows that DRLMS algorithm has better performance than LMS and DFELMS algorithms.