By Topic

Adaptive beamforming method based on constrained LMS algorithm for tracking mobile user

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
M. Dosaranian-Moghadam ; M. Dosaranian-Moghadam is with the Islamic Azad University of Qazvin, Iran and Science and Research Branch of Islamic Azad Univesity, Tehran, Iran ; H. R Bakhshi ; G. R Dadashzadeh ; P. Rahmati

In this paper, Constrained Least Mean Square (CLMS) algorithm for narrowband adaptive beamforming for tracking mobile user in a 2D urban environment has been used. This algorithm is capable of efficiently adapting according to the environment and able to permanently maintain the chosen frequency response in the look direction while minimizing the output power of the array. The capability of the smart antenna systems to track the user with the main lobe and interference with the nulls creates a significant impact on the current and future wireless sensor networks. The adaptability of the algorithm is closely observed for uniformly spaced linear array. Simulation results indicate that adaptive beamforming method is able to considerably increase the Signal to Interference plus Noise Ratio (SINR) of mobile user in comparison with the ordinary Equal Sectoring (ES) method.

Published in:

Global Mobile Congress 2009

Date of Conference:

12-14 Oct. 2009