GNSS World of China

Volume 46 Issue 3
Jun.  2021
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YAN Zhi. A Gaussian Sum Filter-based indoor localization algorithm using bluetooth beacons[J]. GNSS World of China, 2021, 46(3): 94-98. doi: 10.12265/j.gnss.2020110602
Citation: YAN Zhi. A Gaussian Sum Filter-based indoor localization algorithm using bluetooth beacons[J]. GNSS World of China, 2021, 46(3): 94-98. doi: 10.12265/j.gnss.2020110602
shu

A Gaussian Sum Filter-based indoor localization algorithm using bluetooth beacons

doi: 10.12265/j.gnss.2020110602

  • Software School, Changsha, Changsha Social Work College, Changsha 410004, China

  • Received Date: 2020-11-06
    Available Online: 2021-07-05
  • Publish Date: 2021-06-30
    Abstract
  • High precision indoor localization is the basis of location based service in Internet of Thing. The received signal strength indicator (RSSI) values of bluetooth low energy (BLE) can be used to do analysis and computation in location system. Therefore, Gaussian sum filter-based indoor localization used bluetooth beacons (GSF-IL) is proposed in this paper. Considering the multipath fading and fluctuation of indoor environmental signals, the Gaussian sum filter (GSF) is used to process the RSSI measurement value, so that the RSSI value has non-Gaussian characteristics, and the Wasserstein distance (WD) is used to reduce the component number of the GSF model to a single Gaussian component. Simulation results show that the proposed GSF-IL algorithm can modify the original RSSI value and make use of the positioning accuracy.

     

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    • References(13)
  • [1]
    赵泽, 高源, 崔莉. VehLoc: 基于低功耗蓝牙多信道RSSI值的车内高精度定位方法[J]. 通信学报, 2018, 39(12): 47-59.
    [2]
    CHEN K Y, MI Y, SHEN Y, et al. SparseLoc: indoor localization using sparse representation[J]. IEEE access, 2017(5): 20171-20182. DOI: 101109/ACCESS. 2017.2727504
    [3]
    GU Y, ZHOU C F, WIESER A, et al. WiFi based trajectory alignment, calibration and crowdsourced site survey using smart phones and foot-mounted IMUs[C]// 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017. DOI: 10.1109/IPIN.2017.8115929
    [4]
    HO C C, LEE R. Real-time indoor positioning system based on RFID Heron-Bilateration location estimation and IMU inertial-navigation location estimation[C]//2015 IEEE 39th Annual Computer Software and Applications Conference, 2015. DOI: 10.1109/COMPSAC.2015.317
    [5]
    TESRIERO R, TEBAR R, GALLUD J A, et al. Improving location awareness in indoor spaces using RFID technology[J]. Expert systems with applications, 2010, 37(1): 894-898. DOI: 10.1016/j.eswa.2009.05.062
    [6]
    ALARIFI A, AL-SALMAN A, ALSALEH M, et al. Ultra wideband indoor positioning technologies: analysis and recent advances[J]. Sensors, 2016, 16(5): 707. DOI: 10.3390/s16050707
    [7]
    RUIZ A R J, GRANJA F C. Comparing ubisense, bespoon, and decawave UWB location systems: indoor performance analysis[J]. IEEE transactions on instrumentation and measuremen, 2017, 66(8): 2106-2117. DOI: 10.1109/TIM.2017.2681398
    [8]
    CHANDEL V, AHMED N, ARORA S, et al. InLoc: an endto-end robust indoor localization and routing solution using mobile phones and BLE beacons[C]//2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2015. DOI: 10.1109/IPIN.2016.7743592
    [9]
    HOSHI H, ISHIZUKA H, KOBAYASHI A, et al. An indoor location estimation using BLE beacons considering movable obstructions[C]//2017 Tenth International Conference on Mobile Computing and Ubiquitous Network (ICMU), 2017. DOI: 10.23919/ICMU.2017.8330082
    [10]
    张俞, 冷璐. 基于图优化的蓝牙信标室内定位方法[J]. 电子测量与仪器学报, 2019, 33(6): 45-51.
    [11]
    MOHAMMADI A, PLATANIOTIS K N. Complex-valued gausisan sum filter for nonlinear filtering of non-gaussian/non-circular noise[J]. IEEE signal processing letters, 2014, 22(4): 440-444. DOI: 10.1109/LSP.2014.2361459
    [12]
    曹亚琴, 秦宁宁, 杨乐. 一种改进的双站时频差目标跟踪高斯和滤波算法[J]. 计算机与数字工程, 2018, 46(5): 907-915. DOI: aaaa
    [13]
    MALEKZADEH P, SALIMIBENI M, ATASHI M, et al. Gaussian mixture-based indoor localization via bluetooth low energy sensors[C]//2019 IEEE Sensors, 2019, 6(8): 54-61. DOI: 10.1109/SENSORS43011.2019.8956950
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