Gaussian message passing based passive localization in the presence of receiver detection failures

Weijie YUAN; Qiaolin SHI; Nan WU; Qinghua GUO; Xiaojing HUANG

doi:10.1109/VTCSpring.2018.8417730

Gaussian message passing based passive localization in the presence of receiver detection failures

Weijie YUAN^*, Qiaolin SHI, Nan WU, Qinghua GUO, Xiaojing HUANG

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

This paper considers the issue of passive localization based on time of arrival (TOA) measurement in the presence of receiver detection failures. In passive localization, the signal sent from the transmitter is reflected or relayed by «passive» target and then received at several distributed receivers. The target's position can be determined by collecting range mea- surements from all receivers. With a linearized model for range measurements, we build a factor graph model and implement Gaussian message passing algorithm to obtain target location and detect link failures. The Cramer-rao bound (CRB) is also derived to evaluate the performance of proposed algorithm. Simulation results verify the effectiveness of proposed factor graph approach.

Original language	English
Title of host publication	2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 : Proceedings
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538663554
ISBN (Print)	9781538663561
DOIs	https://doi.org/10.1109/VTCSpring.2018.8417730
Publication status	Published - 20 Jul 2018
Externally published	Yes
Event	87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal Duration: 3 Jun 2018 → 6 Jun 2018

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2018-June
ISSN (Print)	1550-2252

Conference

Conference	87th IEEE Vehicular Technology Conference, VTC Spring 2018
Country/Territory	Portugal
City	Porto
Period	3/06/18 → 6/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Cramér-Rao bound
Detection Failure
Factor Graph
Message Passing
Passive Localization
Time of Arrival

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10.1109/VTCSpring.2018.8417730

Cite this

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title = "Gaussian message passing based passive localization in the presence of receiver detection failures",

abstract = "This paper considers the issue of passive localization based on time of arrival (TOA) measurement in the presence of receiver detection failures. In passive localization, the signal sent from the transmitter is reflected or relayed by «passive» target and then received at several distributed receivers. The target's position can be determined by collecting range mea- surements from all receivers. With a linearized model for range measurements, we build a factor graph model and implement Gaussian message passing algorithm to obtain target location and detect link failures. The Cramer-rao bound (CRB) is also derived to evaluate the performance of proposed algorithm. Simulation results verify the effectiveness of proposed factor graph approach.",

keywords = "Cram{\'e}r-Rao bound, Detection Failure, Factor Graph, Message Passing, Passive Localization, Time of Arrival",

author = "Weijie YUAN and Qiaolin SHI and Nan WU and Qinghua GUO and Xiaojing HUANG",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 87th IEEE Vehicular Technology Conference, VTC Spring 2018 ; Conference date: 03-06-2018 Through 06-06-2018",

year = "2018",

month = jul,

day = "20",

doi = "10.1109/VTCSpring.2018.8417730",

language = "English",

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series = "IEEE Vehicular Technology Conference",

publisher = "IEEE",

pages = "1--5",

booktitle = "2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 : Proceedings",

}

YUAN, W, SHI, Q, WU, N, GUO, Q & HUANG, X 2018, Gaussian message passing based passive localization in the presence of receiver detection failures. in 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 : Proceedings. IEEE Vehicular Technology Conference, vol. 2018-June, IEEE, pp. 1-5, 87th IEEE Vehicular Technology Conference, VTC Spring 2018, Porto, Portugal, 3/06/18. https://doi.org/10.1109/VTCSpring.2018.8417730

Gaussian message passing based passive localization in the presence of receiver detection failures. / YUAN, Weijie; SHI, Qiaolin; WU, Nan et al.
2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 : Proceedings. IEEE, 2018. p. 1-5 (IEEE Vehicular Technology Conference; Vol. 2018-June).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

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AU - YUAN, Weijie

AU - SHI, Qiaolin

AU - WU, Nan

AU - GUO, Qinghua

AU - HUANG, Xiaojing

PY - 2018/7/20

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N2 - This paper considers the issue of passive localization based on time of arrival (TOA) measurement in the presence of receiver detection failures. In passive localization, the signal sent from the transmitter is reflected or relayed by «passive» target and then received at several distributed receivers. The target's position can be determined by collecting range mea- surements from all receivers. With a linearized model for range measurements, we build a factor graph model and implement Gaussian message passing algorithm to obtain target location and detect link failures. The Cramer-rao bound (CRB) is also derived to evaluate the performance of proposed algorithm. Simulation results verify the effectiveness of proposed factor graph approach.

AB - This paper considers the issue of passive localization based on time of arrival (TOA) measurement in the presence of receiver detection failures. In passive localization, the signal sent from the transmitter is reflected or relayed by «passive» target and then received at several distributed receivers. The target's position can be determined by collecting range mea- surements from all receivers. With a linearized model for range measurements, we build a factor graph model and implement Gaussian message passing algorithm to obtain target location and detect link failures. The Cramer-rao bound (CRB) is also derived to evaluate the performance of proposed algorithm. Simulation results verify the effectiveness of proposed factor graph approach.

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KW - Detection Failure

KW - Factor Graph

KW - Message Passing

KW - Passive Localization

KW - Time of Arrival

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SN - 9781538663561

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Gaussian message passing based passive localization in the presence of receiver detection failures

Abstract

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Bibliographical note

Keywords

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