An improved TDOA localization algorithm based on wavelet transform

Yuan Yuan; Shujuan Hou; Qingqing Zhao

doi:10.1109/ICEIEC.2017.8076523

An improved TDOA localization algorithm based on wavelet transform

Yuan Yuan, Shujuan Hou, Qingqing Zhao

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

In view of the influence of Non-Line of Sight (NLOS) in wireless localization, an improved TDOA localization algorithm based on wavelet transform is proposed. In order to eliminate the NLOS error, this algorithm uses wavelet transform to decompose and reconstruct the signal, and then re-uses the Chan algorithm to estimate the localization of mobile station. Based on the classical wavelet thresholding denoising method, this algorithm provides an optimized threshold function, so that the threshold changes with the decomposition scale. The simulation results show that this algorithm improves the positioning accuracy, and it performs better than Chan algorithm under the same environment.

Original language	English
Title of host publication	Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017
Editors	Li Wenzheng, Seng-Pan U, Zhu Hongdan, Ni Shaowen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	111-114
Number of pages	4
ISBN (Electronic)	9781509030248
DOIs	https://doi.org/10.1109/ICEIEC.2017.8076523
Publication status	Published - 19 Oct 2017
Event	7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017 - Macau, China Duration: 21 Jul 2017 → 23 Jul 2017

Publication series

Name	Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017

Conference

Conference	7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017
Country/Territory	China
City	Macau
Period	21/07/17 → 23/07/17

Keywords

Chan algorithm
NLOS error
wavelet transform
wireless localization

Access to Document

10.1109/ICEIEC.2017.8076523

Cite this

Yuan, Y., Hou, S., & Zhao, Q. (2017). An improved TDOA localization algorithm based on wavelet transform. In L. Wenzheng, S.-P. U, Z. Hongdan, & N. Shaowen (Eds.), Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017 (pp. 111-114). Article 8076523 (Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEIEC.2017.8076523

Yuan, Yuan ; Hou, Shujuan ; Zhao, Qingqing. / An improved TDOA localization algorithm based on wavelet transform. Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017. editor / Li Wenzheng ; Seng-Pan U ; Zhu Hongdan ; Ni Shaowen. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 111-114 (Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017).

@inproceedings{ae81ff04104740dbbd8258f3e3acbd90,

title = "An improved TDOA localization algorithm based on wavelet transform",

abstract = "In view of the influence of Non-Line of Sight (NLOS) in wireless localization, an improved TDOA localization algorithm based on wavelet transform is proposed. In order to eliminate the NLOS error, this algorithm uses wavelet transform to decompose and reconstruct the signal, and then re-uses the Chan algorithm to estimate the localization of mobile station. Based on the classical wavelet thresholding denoising method, this algorithm provides an optimized threshold function, so that the threshold changes with the decomposition scale. The simulation results show that this algorithm improves the positioning accuracy, and it performs better than Chan algorithm under the same environment.",

keywords = "Chan algorithm, NLOS error, wavelet transform, wireless localization",

author = "Yuan Yuan and Shujuan Hou and Qingqing Zhao",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017 ; Conference date: 21-07-2017 Through 23-07-2017",

year = "2017",

month = oct,

day = "19",

doi = "10.1109/ICEIEC.2017.8076523",

language = "English",

series = "Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "111--114",

editor = "Li Wenzheng and Seng-Pan U and Zhu Hongdan and Ni Shaowen",

booktitle = "Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017",

address = "United States",

}

Yuan, Y, Hou, S & Zhao, Q 2017, An improved TDOA localization algorithm based on wavelet transform. in L Wenzheng, S-P U, Z Hongdan & N Shaowen (eds), Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017., 8076523, Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 111-114, 7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017, Macau, China, 21/07/17. https://doi.org/10.1109/ICEIEC.2017.8076523

An improved TDOA localization algorithm based on wavelet transform. / Yuan, Yuan; Hou, Shujuan; Zhao, Qingqing.
Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017. ed. / Li Wenzheng; Seng-Pan U; Zhu Hongdan; Ni Shaowen. Institute of Electrical and Electronics Engineers Inc., 2017. p. 111-114 8076523 (Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An improved TDOA localization algorithm based on wavelet transform

AU - Yuan, Yuan

AU - Hou, Shujuan

AU - Zhao, Qingqing

PY - 2017/10/19

Y1 - 2017/10/19

N2 - In view of the influence of Non-Line of Sight (NLOS) in wireless localization, an improved TDOA localization algorithm based on wavelet transform is proposed. In order to eliminate the NLOS error, this algorithm uses wavelet transform to decompose and reconstruct the signal, and then re-uses the Chan algorithm to estimate the localization of mobile station. Based on the classical wavelet thresholding denoising method, this algorithm provides an optimized threshold function, so that the threshold changes with the decomposition scale. The simulation results show that this algorithm improves the positioning accuracy, and it performs better than Chan algorithm under the same environment.

AB - In view of the influence of Non-Line of Sight (NLOS) in wireless localization, an improved TDOA localization algorithm based on wavelet transform is proposed. In order to eliminate the NLOS error, this algorithm uses wavelet transform to decompose and reconstruct the signal, and then re-uses the Chan algorithm to estimate the localization of mobile station. Based on the classical wavelet thresholding denoising method, this algorithm provides an optimized threshold function, so that the threshold changes with the decomposition scale. The simulation results show that this algorithm improves the positioning accuracy, and it performs better than Chan algorithm under the same environment.

KW - Chan algorithm

KW - NLOS error

KW - wavelet transform

KW - wireless localization

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U2 - 10.1109/ICEIEC.2017.8076523

DO - 10.1109/ICEIEC.2017.8076523

M3 - Conference contribution

AN - SCOPUS:85035795302

T3 - Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017

SP - 111

EP - 114

BT - Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017

A2 - Wenzheng, Li

A2 - U, Seng-Pan

A2 - Hongdan, Zhu

A2 - Shaowen, Ni

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017

Y2 - 21 July 2017 through 23 July 2017

ER -

Yuan Y, Hou S, Zhao Q. An improved TDOA localization algorithm based on wavelet transform. In Wenzheng L, U SP, Hongdan Z, Shaowen N, editors, Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 111-114. 8076523. (Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017). doi: 10.1109/ICEIEC.2017.8076523

An improved TDOA localization algorithm based on wavelet transform

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