Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers

Yifeng Xiong; Nan Wu; Hua Wang; Jingming Kuang

doi:10.1109/SPAWC.2016.7536781

Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers

Yifeng Xiong, Nan Wu^*, Hua Wang, Jingming Kuang

^*Corresponding author for this work

Beijing Institute of Technology

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

4 Citations (Scopus)

Abstract

Location-aware wireless networks can provide precise location information in harsh environments only when all anchors are well-functioning. In this paper, we propose a distributed, robust TOA-based localization approach based on the Expectation-Maximization (EM) algorithm, which enables the agents to detect the malfunctioning anchors cooperatively while localizing themselves. Closed-form solution is obtained by using Taylor approximation. Moreover, performance limit is analyzed using Cramér-Rao lower bound (CRLB), which reveals that cooperative outlier detection brings theoretical localization performance gain. Simulation results show that the proposed method attains the performance limit with a significantly lower computational cost compared with the existing algorithms.

Original language	English
Title of host publication	SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509017492
DOIs	https://doi.org/10.1109/SPAWC.2016.7536781
Publication status	Published - 9 Aug 2016
Event	17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 - Edinburgh, United Kingdom Duration: 3 Jul 2016 → 6 Jul 2016

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume	2016-August

Conference

Conference	17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	3/07/16 → 6/07/16

Keywords

Cramér-Rao lower bound (CRLB)
location-aware wireless network
ranging outlier

Access to Document

10.1109/SPAWC.2016.7536781

Cite this

Xiong, Y., Wu, N., Wang, H., & Kuang, J. (2016). Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers. In SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications Article 7536781 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2016-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2016.7536781

Xiong, Yifeng ; Wu, Nan ; Wang, Hua et al. / Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers. SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers Inc., 2016. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

@inproceedings{6fe541981c8d46758e4c52c9b97e67e4,

title = "Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers",

abstract = "Location-aware wireless networks can provide precise location information in harsh environments only when all anchors are well-functioning. In this paper, we propose a distributed, robust TOA-based localization approach based on the Expectation-Maximization (EM) algorithm, which enables the agents to detect the malfunctioning anchors cooperatively while localizing themselves. Closed-form solution is obtained by using Taylor approximation. Moreover, performance limit is analyzed using Cram{\'e}r-Rao lower bound (CRLB), which reveals that cooperative outlier detection brings theoretical localization performance gain. Simulation results show that the proposed method attains the performance limit with a significantly lower computational cost compared with the existing algorithms.",

keywords = "Cram{\'e}r-Rao lower bound (CRLB), location-aware wireless network, ranging outlier",

author = "Yifeng Xiong and Nan Wu and Hua Wang and Jingming Kuang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 ; Conference date: 03-07-2016 Through 06-07-2016",

year = "2016",

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doi = "10.1109/SPAWC.2016.7536781",

language = "English",

series = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

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

booktitle = "SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications",

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Xiong, Y, Wu, N , Wang, H & Kuang, J 2016, Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers. in SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications., 7536781, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, vol. 2016-August, Institute of Electrical and Electronics Engineers Inc., 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016, Edinburgh, United Kingdom, 3/07/16. https://doi.org/10.1109/SPAWC.2016.7536781

Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers. / Xiong, Yifeng; Wu, Nan ; Wang, Hua et al.
SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers Inc., 2016. 7536781 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2016-August).

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

TY - GEN

T1 - Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers

AU - Xiong, Yifeng

AU - Wu, Nan

AU - Wang, Hua

AU - Kuang, Jingming

PY - 2016/8/9

Y1 - 2016/8/9

N2 - Location-aware wireless networks can provide precise location information in harsh environments only when all anchors are well-functioning. In this paper, we propose a distributed, robust TOA-based localization approach based on the Expectation-Maximization (EM) algorithm, which enables the agents to detect the malfunctioning anchors cooperatively while localizing themselves. Closed-form solution is obtained by using Taylor approximation. Moreover, performance limit is analyzed using Cramér-Rao lower bound (CRLB), which reveals that cooperative outlier detection brings theoretical localization performance gain. Simulation results show that the proposed method attains the performance limit with a significantly lower computational cost compared with the existing algorithms.

AB - Location-aware wireless networks can provide precise location information in harsh environments only when all anchors are well-functioning. In this paper, we propose a distributed, robust TOA-based localization approach based on the Expectation-Maximization (EM) algorithm, which enables the agents to detect the malfunctioning anchors cooperatively while localizing themselves. Closed-form solution is obtained by using Taylor approximation. Moreover, performance limit is analyzed using Cramér-Rao lower bound (CRLB), which reveals that cooperative outlier detection brings theoretical localization performance gain. Simulation results show that the proposed method attains the performance limit with a significantly lower computational cost compared with the existing algorithms.

KW - Cramér-Rao lower bound (CRLB)

KW - location-aware wireless network

KW - ranging outlier

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DO - 10.1109/SPAWC.2016.7536781

M3 - Conference contribution

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T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

BT - SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016

Y2 - 3 July 2016 through 6 July 2016

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Xiong Y, Wu N , Wang H, Kuang J. Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers. In SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers Inc. 2016. 7536781. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC.2016.7536781

Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers

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