A Minimum Entropy Estimation Based Mobile Positioning Algorithm

Author

Sun, Guolin ; Hu, Bo

Author_Institution

Fudan Univ., Shanghai

Volume

1

fYear

2007

fDate

6-8 Dec. 2007

Firstpage

144

Lastpage

147

Abstract

The problem of locating a mobile terminal has received significant attention in the field of wireless communications. Mobile positioning problem is made difficult by non-symmetric contamination of measured time of arrival (TOA) data caused by non-line-of- sight (NLOS) propagation. In this paper, a novel robust NLOS error mitigation algorithm based on minimum entropy estimation is proposed without prior knowledge of NLOS error distribution. A performance comparison is done in different channel environment between the proposed algorithm and two additional ones, least-square estimator and Huber estimator, through MATLAB simulation. Results reveal that the proposed algorithm outperforms the other two.

Keywords

entropy; least squares approximations; mathematics computing; mobile radio; radio direction-finding; time-of-arrival estimation; wireless channels; Huber estimator; MATLAB simulation; NLOS error mitigation algorithm; channel environment; least-square estimator; minimum entropy estimation; mobile positioning algorithm; non-line-of- sight propagation; nonsymmetric contamination; time of arrival data; Cost function; Entropy; Measurement standards; Noise measurement; Pollution measurement; Position measurement; Random variables; Robustness; Time measurement; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Generation Communication and Networking (FGCN 2007)

Conference_Location

Jeju

Print_ISBN

0-7695-3048-6

Type

conf

DOI

10.1109/FGCN.2007.18

Filename

4426109