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Mobile Indoor Localization Mitigating Unstable RSS Variations and Multiple NLOS Interferences

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10464))

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Abstract

Many researches have studied indoor localization techniques in past decades. Depending on a wireless sensor network, current distance-based localization techniques exploit different measurements of Received Signal Strength (RSS) values between RF devices. It is simple to implement and costly efficient, while the estimation accuracy is significantly reduced in indoor environments. In this paper, we focus on localization methods in real indoor environments using IEEE 802.15.4 standard Zigbee network. The objective is to mitigate the instability and divergence of signal strength by using successional RSS evaluations with Kalman filtering and avoid multiple NLOS interferences by using LOS node set identification procedure.

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Acknowledgement

This research was supported by Basic Science Research Pro-gram through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2016R1A2B1015032).

Author information

Authors and Affiliations

  1. Konkuk University, Seoul, 05029, Republic of Korea

    Kyuchang Kwon

  2. Konkuk University, No. 120 Neungdong-ro, Gwangjin-gu, Room-C320, Engineering Building No. 21, Seoul, 05029, Republic of Korea

    Younggoo Kwon

Authors
  1. Kyuchang Kwon
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  2. Younggoo Kwon
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Corresponding authors

Correspondence to Kyuchang Kwon or Younggoo Kwon .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Kwon, K., Kwon, Y. (2017). Mobile Indoor Localization Mitigating Unstable RSS Variations and Multiple NLOS Interferences. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-65298-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65297-9

  • Online ISBN: 978-3-319-65298-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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