A Fast Multidimensional Scaling Analysis for Mobile Positioning

Author

Qin, Shuang ; Wan, Qun ; Chen, Zhang-Xin ; Huang, An-min

Author_Institution

Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

22-23 May 2010

Firstpage

1

Lastpage

3

Abstract

The problem of locating and tracking a mobile station (MS) in which real-time computation is needed has received considerable attentions. In this paper, a fast and computationally simple subspace based algorithm for mobile positioning using of time-of-arrival (TOA) measurements at three base stations (BS) is derived and analyzed. Since the Lagrange multiplier is introduced to avoid eigen-decomposition of the multidimensional similarity matrix, the proposed algorithm offers very competitive performance at low computational complexity.

Keywords

mobility management (mobile radio); time-of-arrival estimation; Lagrange multiplier; fast multidimensional scaling analysis; mobile positioning; mobile station locating; mobile station tracking; time-of-arrival measurement; Algorithm design and analysis; Base stations; Eigenvalues and eigenfunctions; Lagrangian functions; Measurement errors; Mobile computing; Multidimensional systems; Noise measurement; Position measurement; Symmetric matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5872-1

Electronic_ISBN

978-1-4244-5874-5

Type

conf

DOI

10.1109/IWISA.2010.5473295

Filename

5473295