Title :
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
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;
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
DOI :
10.1109/CISP.2009.5304608
