Performance Study of A Non-Blind Algorithm for Smart Antenna System

摘要

As the growing demand for mobile communications is constantly increasing, the need for better coverage, improved capacity, and higher transmission quality rises. Thus, a more efficient use of the radio spectrum is required. Smart antenna system is capable of efficiently utilizing the radio spectrum and is a promise for an effective solution to the present wireless system's problems while achieving reliable and robust high-speed high-data-rate transmission environments. The performance of a particular smart antenna system depends on how well-suited a chosen adaptive algorithm is to its operating signal environment. The best algorithm for a particular array system must not only account for the signal environment at hand, but also for a number of other practical considerations including synchronization, the presence or absence of carrier offsets, the reliability of array calibration data, and hardware cost. In this paper the Matlab simulation and performance study of a non-blind adaptive beamforming algorithm namely Least Mean Square (LMS) has been carried out. The simulation results are presented in the form of normalized array factor (NAF) by varying the number of elements in the array and the placing between the sensor elements.