You are in:Home/Publications/Optimization of MUSIC algorithm for angle of arrival estimation in wireless communications

Dr. Mohamed Lotfi Rabeh Mohamed Lotfi Gomaa :: Publications:

Title:
Optimization of MUSIC algorithm for angle of arrival estimation in wireless communications
Authors: Mahmoud Mohanna, Mohamed L. Rabeh, Emad M. Zieur and Sherif Hekal
Year: 2013
Keywords: Smart antennas;Waves;Music algorithm;angle of arrival;Multiple access
Journal: NRIAG Journal of Astronomy and Geophysics
Volume: Vol.2
Issue: Issue 1
Pages: p.116–124
Publisher: sciencedirect
Local/International: International
Paper Link:
Full paper Mohamed Lotfi Rabeh Mohamed Lotfi Gomaa_Optimization of MUSIC algorithm.pdf
Supplementary materials Not Available
Abstract:

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 eigenstructure 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.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus