To reduce estimation error caused by static path loss factor in a log path-loss model, a modified log path-loss model is proposed in this paper based on statistical analysis on the Zigbee localization experimental data. In this model, a negative exponent function is used to describe the distance relation of the path loss factor with target nodes and fixed nodes to improve performance of the traditional log path-loss model. A maximum likelihood (ML) estimator and the corresponding Cramer-Rao lower bounds is then proposed and derived. Results of Zigbee localization experiments in laboratory and bus station demonstrate good performance with accurate localization and flexibility for varying environments.
WANG Ri-ming1,2, FENG Jiu-chao1
. Improved Localization in Dynamic Non-line-of-Sight Environments Using a Modified Log Path-Loss Model[J]. Journal of Applied Sciences, 2014
, 32(4)
: 372
-378
.
DOI: 10.3969/j.issn.0255-8297.2014.04.006
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