Optimal data fusion for pedestrian navigation based on UWB and MEMS

被引：0
|
作者：
Renaudin, V. [1 ]
Merminod, B. [1 ]
Kasser, M. [2 ]
机构：
[1] Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Switzerland
[2] Ecole Natl Sci Geograph, Champs Sur Marne, France
来源：
2008 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM, VOLS 1-3 | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Indoor pedestrian navigation is probably a very challenging research area. In this context, an optimal data fusion filter that hybridises a large set of observations: angles of arrival (AOA), time differences of arrival (TDOA), accelerations, angular velocities and magnetic field measurements is presented. The coupling of UWB and MEMS data relies on an Extended Kalman Filter complemented with specific procedures. Geometry based algorithms and a RANSAC paradigm that mitigates the Non Line Of Sight (NLOS) UWB propagation are detailed. The benefit of the solution is evaluated and compared with the pure inertial positioning system.
引用
收藏
页码：753 / +
页数：3
相关论文
共 50 条
  • [31] Heading feedback correction algorithm for indoor pedestrian navigation based on waist MEMS-IMU
    Lu Y.-L.
    Liu H.-Z.
    Guo J.-Q.
    Chen Z.-R.
    Xiang G.-J.
    Liu Y.
    Liu, Yu (liuyu@cqupt.edu.cn), 1600, Editorial Department of Journal of Chinese Inertial Technology (25): : 725 - 730and737
  • [32] Constrained MEMS-Based INS/UWB Tightly Coupled System for Accurate UGVs Navigation
    Mi, Jing
    Wang, Qing
    Han, Xiaotao
    REMOTE SENSING, 2023, 15 (10)
  • [33] Pedestrian Detection Method Based on Neural Network and Data Fusion
    Zhu B.
    Huang M.
    Tan D.
    Hu X.
    Gu J.
    Tan, Dongkui (tandongkui@126.com), 1600, SAE-China (42): : 1482 - 1489
  • [34] An INS and UWB Fusion-Based Gyroscope Drift Correction Approach for Indoor Pedestrian Tracking
    Tian, Qinglin
    Wang, Kevin I-Kai
    Salcic, Zoran
    SENSORS, 2020, 20 (16) : 1 - 16
  • [35] Integration of Heading-Aided MEMS IMU with GPS for Pedestrian Navigation
    Pinchin, James
    Hide, Chris
    Abdulrahim, Khari
    Moore, Terry
    Hill, Chris
    PROCEEDINGS OF THE 24TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2011), 2011, : 1346 - 1356
  • [36] A Zero Velocity Intervals Detection Algorithm based on Sensor Fusion for Indoor Pedestrian Navigation
    Ma, Ming
    Song, Qian
    Li, Yanghuan
    Zhou, Zhimin
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 418 - 423
  • [37] Data fusion based navigation concept for LEO satellites
    Janschek, K
    Boge, T
    Krasilshchikov, M
    Jacobson, M
    4TH ESA INTERNATIONAL CONFERENCE ON SPACECRAFT GUIDANCE, NAVIGATION AND CONTROL SYSTEMS AND TUTORIAL ON MODERN AND ROBUST CONTROL: THEORY, TOOLS AND APPLICATIONS, 2000, 425 : 517 - 522
  • [38] Research on Optimal Weight Choice of Multi-MEMS Gyroscope Data Fusion
    Ren, Yafei
    Ge, Yunwang
    Bai, Xucan
    ADVANCED MECHANICAL ENGINEERING II, 2012, 192 : 351 - 355
  • [39] Low-Cost MEMS-Based Pedestrian Navigation Technique for GPS-Denied Areas
    Ali, Abdelrahman
    El-Sheimy, Naser
    JOURNAL OF SENSORS, 2013, 2013
  • [40] Loosely coupled GNSS and UWB with INS integration for indoor/outdoor pedestrian navigation
    Di Pietra, Vincenzo
    Dabove, Paolo
    Piras, Marco
    Sensors (Switzerland), 2020, 20 (21): : 1 - 22
12345