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

信息与电子学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

9 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017
编辑	Li Wenzheng, Seng-Pan U, Zhu Hongdan, Ni Shaowen
出版商	Institute of Electrical and Electronics Engineers Inc.
页	111-114
页数	4
ISBN（电子版）	9781509030248
DOI	https://doi.org/10.1109/ICEIEC.2017.8076523
出版状态	已出版 - 19 10月 2017
活动	7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017 - Macau, 中国期限: 21 7月 2017 → 23 7月 2017

出版系列

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

会议

会议	7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017
国家/地区	中国
市	Macau
时期	21/07/17 → 23/07/17

访问文件

10.1109/ICEIEC.2017.8076523

其它文件与链接

链接到 Scopus 的出版物

引用此

Yuan, Y., Hou, S., & Zhao, Q. (2017). An improved TDOA localization algorithm based on wavelet transform. 在 L. Wenzheng, S.-P. U, Z. Hongdan, & N. Shaowen (编辑), Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017 (页码 111-114). 文章 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. 编辑 / Li Wenzheng ; Seng-Pan U ; Zhu Hongdan ; Ni Shaowen. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 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. 在 L Wenzheng, S-P U, Z Hongdan & N Shaowen (编辑), 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., 页码 111-114, 7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017, Macau, 中国, 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. 编辑 / Li Wenzheng; Seng-Pan U; Zhu Hongdan; Ni Shaowen. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 111-114 8076523 (Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

UR - http://www.scopus.com/inward/record.url?scp=85035795302&partnerID=8YFLogxK

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. 在 Wenzheng L, U SP, Hongdan Z, Shaowen N, 编辑, Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 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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