Smart Antennas are phased array antennas with smart signal processing algorithms used
to identify the angle of arrival (AOA) of the signal, which can be used subsequently to calculate
beam-forming vectors needed to track and locate the intended mobile set. This concept is called
space division multiple access (SDMA) which enables a higher capacity and data rates for all modern
wireless communications by focusing the antenna beam on the intended user. This enables wide
coverage and very low interference and also adding new applications like location based services.
MUltiple SIgnal Classification (MUSIC) is a well-known high resolution eigen structure method,
extensively used to estimate the number of signals, and their angles of arrival. In this paper we
investigate the possibility of optimization of some key parameters of the MUSIC algorithm that
can enhance the performance of the estimation process. This leads to an increased accuracy in determining
the directions of multiple users and beam-forming (Gross, 2005).