Diffusion LMS localization and tracking algorithm for wireless cellular networks

Author

Abdolee, Reza ; Saur, Stephan ; Champagne, Benoit ; Sayed, Ali H.

Author_Institution

Dept. of Elec. & Comp. Eng., McGill Univ., Montreal, QC, Canada

fYear

2013

Firstpage

4598

Lastpage

4602

Abstract

We propose a distributed least-mean squares (LMS) procedure based on a diffusion strategy for localization and tracking of mobile terminals in cellular networks. In the proposed algorithm, collaborating base stations measure two sets of parameters, namely, the received signal strength (RSS) and the signal propagation time (SPT) to estimate mobile locations. The proposed algorithm has a simple operational structure, offers agile tracking performance and helps the network to save energy and radio resources by benefiting from its decentralized and adaptive signal processing features.

Keywords

adaptive signal processing; cellular radio; least mean squares methods; adaptive signal processing features; agile tracking performance; base stations; diffusion LMS localization algorithm; diffusion strategy; distributed least-mean squares procedure; mobile locations; mobile terminals; operational structure; radio resources; received signal strength; signal propagation time; tracking algorithm; wireless cellular networks; Base stations; Least squares approximations; Mobile communication; Mobile computing; Signal processing algorithms; Wireless communication; Wireless sensor networks; diffusion adaptation; distributed localization; mobile tracking; wireless cellular networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6638531

Filename

6638531