Subspace-Based Indoor Mobile Positioning Using Support Vector Regressor

Author

Kikuchi, Shohei ; Matsuyama, Shinya ; Sano, Akira ; Tsuji, Hiroyuki

Author_Institution

Dept. of Syst. Design Eng., Keio Univ., Yokohama

fYear

2006

Firstpage

1

Lastpage

5

Abstract

Estimating the position of mobile-terminals is a key requirement for many wireless applications. In this paper, we propose an algorithm for locating a mobile using a single receiving antenna array based on a pattern matching approach in indoor environments. The set of signal subspaces of the received signals from multiple points is stored as database in advance, and then the signal subspace of the observation signal is matched with the database by a support vector regressor. The effectiveness of the proposed method is investigated through the data analysis of an indoor experiment.

Keywords

indoor radio; mobile radio; regression analysis; support vector machines; indoor environments; mobile-terminals; pattern matching approach; single receiving antenna array; subspace-based indoor mobile positioning; support vector regressor; wireless applications; Antenna arrays; Data analysis; Databases; Fingerprint recognition; Parameter estimation; Pattern matching; Receiving antennas; Sensor arrays; Statistical learning; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0062-7

Electronic_ISBN

1-4244-0063-5

Type

conf

DOI

10.1109/VTCF.2006.553

Filename

4109818