A Wireless Sensor Self-Localization Algorithm in NLOS Environment

Author

Xiao, Ying ; Li, Bingbing

Author_Institution

Nat. Key Lab. of ISN, Xidian Univ., Xi´´an, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

Localization is an essential task for many applications in wireless sensor networks. In this paper, a novel wireless sensor self-localization algorithm is proposed. The algorithm selects the best geometric layout and introduces an improved Least Square (LS) estimator and iterative process which can significantly mitigate the Non-Line-of-Sight (NLOS) error, without knowing the covariance of measurement noise. Simulation results show the algorithm can provide better performance in comparison to the existing range-based schemes even under severe NLOS error environments.

Keywords

covariance analysis; iterative methods; least squares approximations; wireless sensor networks; NLOS environment; covariance of measurement noise; geometric layout; iterative process; least square estimator; non-line-of-sight error; wireless sensor self-localization algorithm; Automatic control; Biological system modeling; Costs; Global Positioning System; Hardware; Iterative algorithms; Medical simulation; Noise measurement; Wireless sensor networks; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5304608

Filename

5304608