Advanced search
2 files | 775.88 KB Add to list

CRLB-based positioning performance of indoor hybrid AoA/RSS/ToF localization

Chenglong Li (UGent) , Jens Trogh (UGent) , David Plets (UGent) , Emmeric Tanghe (UGent) , Jeroen Hoebeke (UGent) , Eli De Poorter (UGent) and Wout Joseph (UGent)
Author
Organization
Abstract
Fingerprinting indoor localization provides high positioning accuracy with low cost and easy deployment. Considering the unsatisfying precision of received signal strength (RSS)-based fingerprinting, hybrid metrics including angle-of-arrival (AoA) and time-of-flight (ToF), are incorporated to the RSS fingerprinting system. To evaluate the positioning performance of hybrid metrics, the closed-form Cramér-Rao lower bound (CRLB) is derived in this paper. The existence conditions of CRLBs, as well as the relationship of the CRLBs between single and hybrid metrics is revealed. Numerical results based on an office building scenario show that hybrid metrics greatly improve the positioning performance and the robustness to measured standard deviations compared to the single metric's case. Furthermore, hybrid schemes of the AoA/RSS/ToF metrics are also investigated, and simulations reveal that the scheme of AoA/ToF-supporting access points (AP) enhanced with single RSS-supporting APs achieves the best positioning accuracy among all hybrid schemes.
Keywords
Measurement, Mobile nodes, Propagation losses, Estimation, IP networks, Indoor navigation

Downloads

  • WICA 896a.pdf
    • full text (Accepted manuscript)
    • |
    • open access
    • |
    • PDF
    • |
    • 293.96 KB
  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 481.93 KB

Citation

Please use this url to cite or link to this publication:

MLA
Li, Chenglong, et al. “CRLB-Based Positioning Performance of Indoor Hybrid AoA/RSS/ToF Localization.” 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), IEEE, 2019.
APA
Li, C., Trogh, J., Plets, D., Tanghe, E., Hoebeke, J., De Poorter, E., & Joseph, W. (2019). CRLB-based positioning performance of indoor hybrid AoA/RSS/ToF localization. In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Pisa, Italy: IEEE.
Chicago author-date
Li, Chenglong, Jens Trogh, David Plets, Emmeric Tanghe, Jeroen Hoebeke, Eli De Poorter, and Wout Joseph. 2019. “CRLB-Based Positioning Performance of Indoor Hybrid AoA/RSS/ToF Localization.” In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE.
Chicago author-date (all authors)
Li, Chenglong, Jens Trogh, David Plets, Emmeric Tanghe, Jeroen Hoebeke, Eli De Poorter, and Wout Joseph. 2019. “CRLB-Based Positioning Performance of Indoor Hybrid AoA/RSS/ToF Localization.” In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE.
Vancouver
1.
Li C, Trogh J, Plets D, Tanghe E, Hoebeke J, De Poorter E, et al. CRLB-based positioning performance of indoor hybrid AoA/RSS/ToF localization. In: 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE; 2019.
IEEE
[1]
C. Li et al., “CRLB-based positioning performance of indoor hybrid AoA/RSS/ToF localization,” in 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy, 2019.
@inproceedings{8637427,
  abstract     = {Fingerprinting indoor localization provides high positioning accuracy with low cost and easy deployment. Considering the unsatisfying precision of received signal strength (RSS)-based fingerprinting, hybrid metrics including angle-of-arrival (AoA) and time-of-flight (ToF), are incorporated to the RSS fingerprinting system. To evaluate the positioning performance of hybrid metrics, the closed-form Cramér-Rao lower bound (CRLB) is derived in this paper. The existence conditions of CRLBs, as well as the relationship of the CRLBs between single and hybrid metrics is revealed. Numerical results based on an office building scenario show that hybrid metrics greatly improve the positioning performance and the robustness to measured standard deviations compared to the single metric's case. Furthermore, hybrid schemes of the AoA/RSS/ToF metrics are also investigated, and simulations reveal that the scheme of AoA/ToF-supporting access points (AP) enhanced with single RSS-supporting APs achieves the best positioning accuracy among all hybrid schemes.},
  author       = {Li, Chenglong and Trogh, Jens and Plets, David and Tanghe, Emmeric and Hoebeke, Jeroen and De Poorter, Eli and Joseph, Wout},
  booktitle    = {2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  isbn         = {9781728117881},
  issn         = {2162-7347},
  keywords     = {Measurement,Mobile nodes,Propagation losses,Estimation,IP networks,Indoor navigation},
  language     = {eng},
  location     = {Pisa, Italy},
  pages        = {8},
  publisher    = {IEEE},
  title        = {CRLB-based positioning performance of indoor hybrid AoA/RSS/ToF localization},
  url          = {http://dx.doi.org/10.1109/IPIN.2019.8911771},
  year         = {2019},
}

Altmetric
View in Altmetric