Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638531
