Performance analysis of data reusing least mean square algorithm for smart antenna system

Abstract

Smart antenna system is very useful to increase the capacity, coverage and quality of communication system. Smart antenna combines the antenna array with digital signal processing capability which tracks the mobile user by focusing radiation in a specific desired user direction and at the same time forming null toward interference. This paper represents the performance analysis of Data reusing least mean square (DRLMS) and Least Mean Square (LMS) through beam steering ability and nullifying capability of algorithm and comparative analysis is done using MATLAB 7.14. The simulation result shows that DRLMS has better performance and interference suppression capability, beam steering ability and higher convergence rate than LMS by reusing current desired and input signal as repeatedly within each iteration for coefficients update.