期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2014
卷号：2014
DOI：10.1155/2014/213198
出版社：Hindawi Publishing Corporation
摘要：Localization is a key issue for wireless sensor
network. The traditional localization methods achieve high
location accuracy using received signal strength (RSS) in line of
sight (LOS) environment. But the localization accuracy degrades
significantly in nonline of sight (NLOS) environment. So the
localization in NLOS environment is one of the most challenging
for wireless sensor network. In this paper, we propose an RSS
based localization algorithm in NLOS environment. A NLOS
identification algorithm is firstly proposed. This algorithm does
not need the parameters of the NLOS in prior. Then we correct
the NLOS measurements by subtracting the mean of NLOS errors.
Finally, the Kalman filter is employed to mitigate the process
noise. In simulations, we demonstrate that the proposed algorithm
achieves higher localization accuracy compared with other
methods.
