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Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance

Research output: Contribution to journalJournal articlepeer-review

Published

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Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance. / Zhuang, Yuan; Hua, Luchi; Wang, Qin; Cao, Yue; Gao, Zhouzheng; Qi, Longning; Yang, Jun; Thompson, John.

In: IEEE Transactions on Vehicular Technology, Vol. 68, No. 11, 01.11.2019, p. 11094 - 11106.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Zhuang, Y, Hua, L, Wang, Q, Cao, Y, Gao, Z, Qi, L, Yang, J & Thompson, J 2019, 'Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance', IEEE Transactions on Vehicular Technology, vol. 68, no. 11, pp. 11094 - 11106. https://doi.org/10.1109/TVT.2019.2943517

APA

Zhuang, Y., Hua, L., Wang, Q., Cao, Y., Gao, Z., Qi, L., Yang, J., & Thompson, J. (2019). Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance. IEEE Transactions on Vehicular Technology, 68(11), 11094 - 11106. https://doi.org/10.1109/TVT.2019.2943517

Vancouver

Zhuang Y, Hua L, Wang Q, Cao Y, Gao Z, Qi L et al. Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance. IEEE Transactions on Vehicular Technology. 2019 Nov 1;68(11):11094 - 11106. https://doi.org/10.1109/TVT.2019.2943517

Author

Zhuang, Yuan ; Hua, Luchi ; Wang, Qin ; Cao, Yue ; Gao, Zhouzheng ; Qi, Longning ; Yang, Jun ; Thompson, John. / Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance. In: IEEE Transactions on Vehicular Technology. 2019 ; Vol. 68, No. 11. pp. 11094 - 11106.

Bibtex

@article{28166d1cfc0e4ffd81ff5579d11887d4,
title = "Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance",
abstract = "Visible Light Positioning (VLP) has become an essential candidate for high-accurate positioning; however, its positioning accuracy is usually degraded by the noise in the VLP system. To solve this problem, a novel scheme of noise measurement and mitigation is proposed for VLPbased on the noise measurement from Allan Varianceand the noise mitigation from positioning algorithms such asAdaptive Least Squares (ALSQ)andExtended Kalman Filter (EKF). In this scheme, Allan Varianceis introduced for noise analysis in VLPfor the first time, which provides an efficient method for measuring the white noise in the VLPsystems. Meanwhile, we evaluate our noise reduction method under static testusing ALSQ and dynamic test using EKF. Furthermore, this article carefully discusses the relationship between positioning accuracy and Dilution of Precision (DOP) values. The preliminary field static tests demonstrate that the proposed scheme improves thepositioning accuracy by 16.5% and achieves the accuracy of 137mmwhile dynamic tests show an improvement of 60.4% and achieve the mean positioning accuracyof 153 mm.",
author = "Yuan Zhuang and Luchi Hua and Qin Wang and Yue Cao and Zhouzheng Gao and Longning Qi and Jun Yang and John Thompson",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2019",
month = nov,
day = "1",
doi = "10.1109/TVT.2019.2943517",
language = "English",
volume = "68",
pages = "11094 -- 11106",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

RIS

TY - JOUR

T1 - Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance

AU - Zhuang, Yuan

AU - Hua, Luchi

AU - Wang, Qin

AU - Cao, Yue

AU - Gao, Zhouzheng

AU - Qi, Longning

AU - Yang, Jun

AU - Thompson, John

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Visible Light Positioning (VLP) has become an essential candidate for high-accurate positioning; however, its positioning accuracy is usually degraded by the noise in the VLP system. To solve this problem, a novel scheme of noise measurement and mitigation is proposed for VLPbased on the noise measurement from Allan Varianceand the noise mitigation from positioning algorithms such asAdaptive Least Squares (ALSQ)andExtended Kalman Filter (EKF). In this scheme, Allan Varianceis introduced for noise analysis in VLPfor the first time, which provides an efficient method for measuring the white noise in the VLPsystems. Meanwhile, we evaluate our noise reduction method under static testusing ALSQ and dynamic test using EKF. Furthermore, this article carefully discusses the relationship between positioning accuracy and Dilution of Precision (DOP) values. The preliminary field static tests demonstrate that the proposed scheme improves thepositioning accuracy by 16.5% and achieves the accuracy of 137mmwhile dynamic tests show an improvement of 60.4% and achieve the mean positioning accuracyof 153 mm.

AB - Visible Light Positioning (VLP) has become an essential candidate for high-accurate positioning; however, its positioning accuracy is usually degraded by the noise in the VLP system. To solve this problem, a novel scheme of noise measurement and mitigation is proposed for VLPbased on the noise measurement from Allan Varianceand the noise mitigation from positioning algorithms such asAdaptive Least Squares (ALSQ)andExtended Kalman Filter (EKF). In this scheme, Allan Varianceis introduced for noise analysis in VLPfor the first time, which provides an efficient method for measuring the white noise in the VLPsystems. Meanwhile, we evaluate our noise reduction method under static testusing ALSQ and dynamic test using EKF. Furthermore, this article carefully discusses the relationship between positioning accuracy and Dilution of Precision (DOP) values. The preliminary field static tests demonstrate that the proposed scheme improves thepositioning accuracy by 16.5% and achieves the accuracy of 137mmwhile dynamic tests show an improvement of 60.4% and achieve the mean positioning accuracyof 153 mm.

U2 - 10.1109/TVT.2019.2943517

DO - 10.1109/TVT.2019.2943517

M3 - Journal article

VL - 68

SP - 11094

EP - 11106

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 11

ER -