COMPUTER MODELING OF SMART ANTENNA SYSTEM

Salah Sadiq, Muhammed

	COMPUTER MODELING OF SMART ANTENNA SYSTEM
Al-Qadisiyah Journal for Engineering Sciences
Article 1, Volume 4, Issue 3, 2011, Pages 327-339 PDF (0 K)
Author
Muhammed salah sadiq
Abstract
This research studied the adaptive smart antenna system using in cellular phone applications using MATLAB simulation. In this work, the proposed novel least mean square algorithm (No-LMS) build and studied the results as comparative work with results of two another algorithms called Standard LMS algorithm (S-LMS), and normalized LMS algorithm (N-LMS). The computer simulation work results based No-LMS algorithm have better performance refer to obtain the optimum convergence factor (CF) and shows that robustness smart system, good tracking capability, and high adaptation accuracy than the other algorithms. The smart antenna system that is based on LMS-algorithms for all types (S-LMS),(N-LMS),and (No-LMS) show that this system is affected by the convergence factor, the computer simulation results shows the minimum mean square error (MSE = 0.007) is obtained for the value of convergence factor equal to (0.2). also the smart system is affected by the number of the antennas are used in smart array and number of samples interval, at least three antennas gives the poor steering of array with large MSE value (0.15). The test of the three algorithms for different values of signal to noise ratio (SNR) show that the (No-LMS) algorithm gives the minimum MSE values compared with the two those obtain from other algorithms.
Keywords
smart antenna system; computer modeling; noise ratio

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