Abstract
Smart antennas have recently received increasing for improving the performance of wireless radio systems. By using Matrix Pencil (MP) algorithms the weight of the antenna array can be adjusted to form certain amount of adaptive beam to track corresponding users automatically and to minimize interference arising from others by introducing nulls in their direction. The interference can be suppressed and the desire signal can be extracted. One of the adaptive matrix pencil algorithm Least Mean Square Algorithm (LMS) is presented on this article using Uniform Circular Array (UCA) structure. Smart antenna incorporates this algorithm in coded form which calculates complex weights according to the signal environment. The efficiency of (LMS) algorithm is compared on the basis of normalized array factor and Root Mean Square Error (RMSE) for mobile communication. The results demonstrate clearly that the matrix pencil investigate in this work is more accurate and stable compared to the published measure.
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