Cart (Loading....) | Create Account
Close category search window

Mobile user location in dense urban environment using unified statistical model

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
$31 $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

3 Author(s)
Tsalolihin, E. ; Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA, USA ; Bilik, I. ; Blaunstein, N.

A statistical approach for mobile subscriber (MS) location in urban environment is derived in this work. Availability of novel 4G mobile broadband technologies motivated a renewed interest in applications which require MS positioning. Implementation of these applications in urban environment depends on the ability to locate the MS in NLOS propagation conditions. A recently proposed statistical model of the propagation conditions in urban built-up environment, is adopted in this work. The statistical model is parameterized by the MS location, and is interpreted as a likelihood function. The proposed method does not involve any significant data collection during the training process, it requires only a single base station (BS), does not require identification or mitigation of the NLOS conditions, and is computationally efficient. Source localization performance of the proposed method was evaluated using a measured data, and acceptable localization accuracy was achieved.

Published in:

Antennas and Propagation (EuCAP), 2010 Proceedings of the Fourth European Conference on

Date of Conference:

12-16 April 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.