Wi-Fi Indoor Localization Based on Hybrid Hypothesis Test of Signal Distribution

Mu ZHOU; Xiaolong GENG; Liangbo XIE; Zengshan TIAN; Yacong WEI

doi:10.11999/JEIT180147

Volume 40 Issue 12

Nov. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(12): 2868-2873

Mu ZHOU, Xiaolong GENG, Liangbo XIE, Zengshan TIAN, Yacong WEI. Wi-Fi Indoor Localization Based on Hybrid Hypothesis Test of Signal Distribution[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2868-2873. doi: 10.11999/JEIT180147

Citation:

Mu ZHOU, Xiaolong GENG, Liangbo XIE, Zengshan TIAN, Yacong WEI. Wi-Fi Indoor Localization Based on Hybrid Hypothesis Test of Signal Distribution[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2868-2873. doi: 10.11999/JEIT180147

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Wi-Fi Indoor Localization Based on Hybrid Hypothesis Test of Signal Distribution

doi: 10.11999/JEIT180147

Chongqing Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61771083, 61704015), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Special Fund of Chongqing Key Laboratory (CSTC), The Fundamental and Frontier Research Project of Chongqing (cstc2017jcyjAX0380, cstc2015jcyjBX0065), The University Outstanding Achievement Transformation Project of Chongqing (KJZH17117), The Postgraduate Scientific Research and Innovation Project of Chongqing (CYS17221), The Scientific and Technological Research Foundation of Chongqing Municipal Education Commission (KJ1704083)

Received Date: 2018-02-05
Rev Recd Date: 2018-06-29

Available Online: 2018-08-14

Publish Date: 2018-12-01

Abstract

Abstract

Wi-Fi indoor localization technique is one of the current research hotspots in the field of mobile computing, however, the conventional location fingerprinting based localization scheme does not consider the diversity of Wi-Fi signal distribution in the complicated indoor environment, resulting in the low robustness of indoor localization system. To address this problem, a new hybrid hypothesis test of signal distribution for Wi-Fi indoor localization is proposed. Specifically, the Jarque-Bera (JB) test is conducted to examine the normality of Wi-Fi signal distribution at each Reference Point (RP). Then, according to the different Wi-Fi signal distributions, the hybrid Mann-Whitney U test and T test approaches are used to construct the set of matching reference points with the purpose of realizing the area localization. Finally, by calculating the K-Nearest Neighbor (KNN) of matching reference points in the located area, the location coordinate of the target is obtained. The experimental results indicate that the proposed approach is featured with higher localization accuracy as well as stronger system robustness compared with the conventional Wi-Fi indoor localization approaches.
- Indoor localization,
- Jarque-Bera test,
- Mann-Whitney U test,
- T-test,
- Signal statistical distribution

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References(18)

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