Joint OTHR multipath state estimation with unknown ionospheric heights

Hua Lan; Zengfu Wang; Feng Yang; Quan Pan

doi:10.1109/IRS.2015.7226226

Joint OTHR multipath state estimation with unknown ionospheric heights

Hua Lan, Zengfu Wang, Feng Yang, Quan Pan

School of Automation

Northwestern Polytechnical University Xian

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

3 Scopus citations

Abstract

This paper first considers over-the horizon radar (OTHR) target tracking in the unknown ionospheric heights case, and a new scheme for joint multipath data association, ionospheric heights identification and state estimation (JMAHE) is developed based on distributed expectation conditional maximization (ECM) framework. The proposed JMAHE scheme casts the OTHR multipath tracking problem as sensor network collaborative tracking, and has a two-level processing structure. The local level performs the local measurement selection, state estimation and ionospheric heights identification jointly based on ECM algorithm. Then, the global level fuses these local estimates by using the consensus strategy.

Original language	English
Title of host publication	International Radar Symposium, IRS 2015 - Proceedings
Editors	Hermann Rohling, Hermann Rohling, Hermann Rohling
Publisher	IEEE Computer Society
Pages	753-758
Number of pages	6
ISBN (Electronic)	9783954048533, 9783954048533, 9783954048533
DOIs	https://doi.org/10.1109/IRS.2015.7226226
State	Published - 26 Aug 2015
Event	16th International Radar Symposium, IRS 2015 - Dresden, Germany Duration: 24 Jun 2015 → 26 Jun 2015

Publication series

Name	Proceedings International Radar Symposium
Volume	2015-August
ISSN (Print)	2155-5753

Conference

Conference	16th International Radar Symposium, IRS 2015
Country/Territory	Germany
City	Dresden
Period	24/06/15 → 26/06/15

Access to Document

10.1109/IRS.2015.7226226

Cite this

Lan, H., Wang, Z., Yang, F., & Pan, Q. (2015). Joint OTHR multipath state estimation with unknown ionospheric heights. In H. Rohling, H. Rohling, & H. Rohling (Eds.), International Radar Symposium, IRS 2015 - Proceedings (pp. 753-758). Article 7226226 (Proceedings International Radar Symposium; Vol. 2015-August). IEEE Computer Society. https://doi.org/10.1109/IRS.2015.7226226

@inproceedings{f29fd38bed7141f2a0a1ecf77f0dc03c,

title = "Joint OTHR multipath state estimation with unknown ionospheric heights",

abstract = "This paper first considers over-the horizon radar (OTHR) target tracking in the unknown ionospheric heights case, and a new scheme for joint multipath data association, ionospheric heights identification and state estimation (JMAHE) is developed based on distributed expectation conditional maximization (ECM) framework. The proposed JMAHE scheme casts the OTHR multipath tracking problem as sensor network collaborative tracking, and has a two-level processing structure. The local level performs the local measurement selection, state estimation and ionospheric heights identification jointly based on ECM algorithm. Then, the global level fuses these local estimates by using the consensus strategy.",

author = "Hua Lan and Zengfu Wang and Feng Yang and Quan Pan",

note = "Publisher Copyright: {\textcopyright} 2015 German Institute of Navigation (DGON).; 16th International Radar Symposium, IRS 2015 ; Conference date: 24-06-2015 Through 26-06-2015",

year = "2015",

month = aug,

day = "26",

doi = "10.1109/IRS.2015.7226226",

language = "英语",

series = "Proceedings International Radar Symposium",

publisher = "IEEE Computer Society",

pages = "753--758",

editor = "Hermann Rohling and Hermann Rohling and Hermann Rohling",

booktitle = "International Radar Symposium, IRS 2015 - Proceedings",

}

Lan, H, Wang, Z, Yang, F & Pan, Q 2015, Joint OTHR multipath state estimation with unknown ionospheric heights. in H Rohling, H Rohling & H Rohling (eds), International Radar Symposium, IRS 2015 - Proceedings., 7226226, Proceedings International Radar Symposium, vol. 2015-August, IEEE Computer Society, pp. 753-758, 16th International Radar Symposium, IRS 2015, Dresden, Germany, 24/06/15. https://doi.org/10.1109/IRS.2015.7226226

Joint OTHR multipath state estimation with unknown ionospheric heights. / Lan, Hua; Wang, Zengfu; Yang, Feng et al.
International Radar Symposium, IRS 2015 - Proceedings. ed. / Hermann Rohling; Hermann Rohling; Hermann Rohling. IEEE Computer Society, 2015. p. 753-758 7226226 (Proceedings International Radar Symposium; Vol. 2015-August).

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

TY - GEN

T1 - Joint OTHR multipath state estimation with unknown ionospheric heights

AU - Lan, Hua

AU - Wang, Zengfu

AU - Yang, Feng

AU - Pan, Quan

PY - 2015/8/26

Y1 - 2015/8/26

N2 - This paper first considers over-the horizon radar (OTHR) target tracking in the unknown ionospheric heights case, and a new scheme for joint multipath data association, ionospheric heights identification and state estimation (JMAHE) is developed based on distributed expectation conditional maximization (ECM) framework. The proposed JMAHE scheme casts the OTHR multipath tracking problem as sensor network collaborative tracking, and has a two-level processing structure. The local level performs the local measurement selection, state estimation and ionospheric heights identification jointly based on ECM algorithm. Then, the global level fuses these local estimates by using the consensus strategy.

AB - This paper first considers over-the horizon radar (OTHR) target tracking in the unknown ionospheric heights case, and a new scheme for joint multipath data association, ionospheric heights identification and state estimation (JMAHE) is developed based on distributed expectation conditional maximization (ECM) framework. The proposed JMAHE scheme casts the OTHR multipath tracking problem as sensor network collaborative tracking, and has a two-level processing structure. The local level performs the local measurement selection, state estimation and ionospheric heights identification jointly based on ECM algorithm. Then, the global level fuses these local estimates by using the consensus strategy.

UR - http://www.scopus.com/inward/record.url?scp=84949589573&partnerID=8YFLogxK

U2 - 10.1109/IRS.2015.7226226

DO - 10.1109/IRS.2015.7226226

M3 - 会议稿件

AN - SCOPUS:84949589573

T3 - Proceedings International Radar Symposium

SP - 753

EP - 758

BT - International Radar Symposium, IRS 2015 - Proceedings

A2 - Rohling, Hermann

PB - IEEE Computer Society

T2 - 16th International Radar Symposium, IRS 2015

Y2 - 24 June 2015 through 26 June 2015

ER -

Joint OTHR multipath state estimation with unknown ionospheric heights

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this