Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph

Weijie YUAN; Ganlin HAO; Nan WU; Hua WANG; Jingming KUANG

doi:10.1109/ICCChina.2014.7008320

Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph

Weijie YUAN, Ganlin HAO, Nan WU^*, Hua WANG, Jingming KUANG

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Location awareness is now becoming vital requirement for many practical applications. In this paper, we consider a wireless network where there is one transmitter and multiple receivers and they aim to locate a passive target. Existing studies on passive localization assume receivers' positions are perfectly known. However, receivers' positions are generally inaccurate in actual scenarios. A factor graph based message passing algorithm is proposed to locate the passive target with inaccurate receivers. The nonlinear term in likelihood function is linearized to solve the intractable integrals. Accordingly, all messages on factor graph are obtained in Gaussian closed forms which reduce the computational complexity significantly. Simulation results show the proposed algorithm can not only estimate the target's position accurately but also determine the receivers' positions simultaneously with low complexity.

Original language	English
Title of host publication	2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Publisher	IEEE
Pages	453-457
Number of pages	5
ISBN (Electronic)	9781479941469
DOIs	https://doi.org/10.1109/ICCChina.2014.7008320
Publication status	Published - 12 Jan 2015
Externally published	Yes
Event	2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China Duration: 13 Oct 2014 → 15 Oct 2014

Conference

Conference	2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Country/Territory	China
City	Shanghai
Period	13/10/14 → 15/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Belief propagation
Factor graph
Gaussian message representation
Inaccurate receiver
Passive localization

Access to Document

10.1109/ICCChina.2014.7008320

Cite this

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title = "Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph",

abstract = "Location awareness is now becoming vital requirement for many practical applications. In this paper, we consider a wireless network where there is one transmitter and multiple receivers and they aim to locate a passive target. Existing studies on passive localization assume receivers' positions are perfectly known. However, receivers' positions are generally inaccurate in actual scenarios. A factor graph based message passing algorithm is proposed to locate the passive target with inaccurate receivers. The nonlinear term in likelihood function is linearized to solve the intractable integrals. Accordingly, all messages on factor graph are obtained in Gaussian closed forms which reduce the computational complexity significantly. Simulation results show the proposed algorithm can not only estimate the target's position accurately but also determine the receivers' positions simultaneously with low complexity.",

keywords = "Belief propagation, Factor graph, Gaussian message representation, Inaccurate receiver, Passive localization",

author = "Weijie YUAN and Ganlin HAO and Nan WU and Hua WANG and Jingming KUANG",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 ; Conference date: 13-10-2014 Through 15-10-2014",

year = "2015",

month = jan,

day = "12",

doi = "10.1109/ICCChina.2014.7008320",

language = "English",

pages = "453--457",

booktitle = "2014 IEEE/CIC International Conference on Communications in China, ICCC 2014",

publisher = "IEEE",

}

YUAN, W, HAO, G, WU, N, WANG, H & KUANG, J 2015, Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph. in 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014., 7008320, IEEE, pp. 453-457, 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014, Shanghai, China, 13/10/14. https://doi.org/10.1109/ICCChina.2014.7008320

Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph. / YUAN, Weijie; HAO, Ganlin; WU, Nan et al.
2014 IEEE/CIC International Conference on Communications in China, ICCC 2014. IEEE, 2015. p. 453-457 7008320.

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

TY - GEN

T1 - Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph

AU - YUAN, Weijie

AU - HAO, Ganlin

AU - WU, Nan

AU - WANG, Hua

AU - KUANG, Jingming

PY - 2015/1/12

Y1 - 2015/1/12

N2 - Location awareness is now becoming vital requirement for many practical applications. In this paper, we consider a wireless network where there is one transmitter and multiple receivers and they aim to locate a passive target. Existing studies on passive localization assume receivers' positions are perfectly known. However, receivers' positions are generally inaccurate in actual scenarios. A factor graph based message passing algorithm is proposed to locate the passive target with inaccurate receivers. The nonlinear term in likelihood function is linearized to solve the intractable integrals. Accordingly, all messages on factor graph are obtained in Gaussian closed forms which reduce the computational complexity significantly. Simulation results show the proposed algorithm can not only estimate the target's position accurately but also determine the receivers' positions simultaneously with low complexity.

AB - Location awareness is now becoming vital requirement for many practical applications. In this paper, we consider a wireless network where there is one transmitter and multiple receivers and they aim to locate a passive target. Existing studies on passive localization assume receivers' positions are perfectly known. However, receivers' positions are generally inaccurate in actual scenarios. A factor graph based message passing algorithm is proposed to locate the passive target with inaccurate receivers. The nonlinear term in likelihood function is linearized to solve the intractable integrals. Accordingly, all messages on factor graph are obtained in Gaussian closed forms which reduce the computational complexity significantly. Simulation results show the proposed algorithm can not only estimate the target's position accurately but also determine the receivers' positions simultaneously with low complexity.

KW - Belief propagation

KW - Factor graph

KW - Gaussian message representation

KW - Inaccurate receiver

KW - Passive localization

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U2 - 10.1109/ICCChina.2014.7008320

DO - 10.1109/ICCChina.2014.7008320

M3 - Conference paper (refereed)

AN - SCOPUS:84922553090

SP - 453

EP - 457

BT - 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

PB - IEEE

T2 - 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

Y2 - 13 October 2014 through 15 October 2014

ER -

Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph

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Keywords

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