By Topic

A Mixed-Norm Approach Using Simulated Annealing with Changeable Neighborhood for Mobile Location Estimation

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

2 Author(s)
Wei-Yu Chiu ; Inst. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Chen, Bor-Sen

In this paper, the mobile location estimation problem in urban areas is considered. The time of arrival (TOA) technique is employed to obtain distance measurements. The position of the mobile station (MS) under consideration is estimated according to the position coordinates of the base stations (BSs) and the corresponding distance measurements. The Manhattan and euclidean norms are used to deal with the line-of-sight (LOS) and non-line-of-sight (NLOS) radio propagation. A mixed-norm approach using simulated annealing with changeable neighborhood (SA-CN) is proposed. The position of the MS is located by using the SA-CN algorithm to search for good solutions of a mixed-norm optimization problem. During the search process, the SA algorithm simulates the annealing of solids, whereas the CN method changes the search step size. Simulations show that the concept of SA-CN outperforms the original SA method with fixed neighborhood. The proposed approach can be applied to the urban area with various shapes of obstructions and can work without the knowledge of noise statistics.

Published in:

Mobile Computing, IEEE Transactions on  (Volume:9 ,  Issue: 5 )