DocumentCode :
3430773
Title :
A novel eliminating approach for spacial variability in indoor localization
Author :
Xiansheng Guo ; Qun Wan ; Baogen Xu ; Zhongchu Rao
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
197
Lastpage :
200
Abstract :
Spacial variability of Received Signal Strength measurements (RSS) is the fluctuation of measured RSS at a fixed location in difference time, which is the main reason for low accuracy and bad robustness of some existing indoor localization techniques. In this paper, we proposed a novel approach to eliminate space variability of RSS in indoor localization. The merits of our proposed method is twofold. First, our proposed method does not require the process of RSS fingerprinting constructing, which is a huge burden of localization methods based on RSS. Secondly, our proposed method is more robust than some existing methods, such as TOA-based method and RSS-based method, in big measurement error case. The efficacy of our proposed method are proven by means of some experimental results.
Keywords :
indoor communication; measurement errors; RSS; indoor localization techniques; measurement error; received signal strength measurements; space variability elimination; Databases; Equations; Estimation; Mathematical model; Robustness; Time measurement; Transforms; Indoor localization; propagation model; spacial variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625327
Filename :
6625327
Link To Document :
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