Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar

Long Xu; Kun Zhan; Hong Jiang; Liang Bai; Mengjie Wu

doi:10.1109/CGNCC.2014.7007306

Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar

Long Xu
, Kun Zhan
, Hong Jiang
, Liang Bai
, Mengjie Wu

School of Automation Science and Electrical Engineering

Beihang University
Science and Technology on Electro-Optic Control Laboratory of Luoyang

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

4 Scopus citations

Abstract

For the ground-based passive radar to monitor low altitude threat targets, the radio frequency modulation (FM) signals transmitted by the broadcast stations is exploited, and an effective joint tracking and classification (JTC) algorithm based on aerodynamic model and radar cross section (RCS) is presented. The aerodynamic equations are used as motion model, and target classification is made possible by the inclusion of RCS in the measurement vector. Thus, tracking and classification are closely coupled, giving full play to the advantages of joint tracking and classification. Our algorithm is implemented by interacting multiple model regularized particle filter (IMMRPF) and simulations show the superiority of our algorithm.

Original language	English
Title of host publication	2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	756-761
Number of pages	6
ISBN (Electronic)	9781479946990
DOIs	https://doi.org/10.1109/CGNCC.2014.7007306
State	Published - 12 Jan 2015
Event	6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 - Yantai, China Duration: 8 Aug 2014 → 10 Aug 2014

Publication series

Name	2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

Conference

Conference	6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Country/Territory	China
City	Yantai
Period	8/08/14 → 10/08/14

Keywords

aerodynamic model
frequency modulation (FM)
interacting multiple model regularized particle filter (IMMRPF)
joint tracking and classification (JTC)
radar cross section (RCS)

Access to Document

10.1109/CGNCC.2014.7007306

Cite this

Xu, L., Zhan, K., Jiang, H., Bai, L., & Wu, M. (2015). Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar. In 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 (pp. 756-761). Article 7007306 (2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CGNCC.2014.7007306

@inproceedings{82eaa950ad9b4eadbaf01caab172768c,

title = "Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar",

abstract = "For the ground-based passive radar to monitor low altitude threat targets, the radio frequency modulation (FM) signals transmitted by the broadcast stations is exploited, and an effective joint tracking and classification (JTC) algorithm based on aerodynamic model and radar cross section (RCS) is presented. The aerodynamic equations are used as motion model, and target classification is made possible by the inclusion of RCS in the measurement vector. Thus, tracking and classification are closely coupled, giving full play to the advantages of joint tracking and classification. Our algorithm is implemented by interacting multiple model regularized particle filter (IMMRPF) and simulations show the superiority of our algorithm.",

keywords = "aerodynamic model, frequency modulation (FM), interacting multiple model regularized particle filter (IMMRPF), joint tracking and classification (JTC), radar cross section (RCS)",

author = "Long Xu and Kun Zhan and Hong Jiang and Liang Bai and Mengjie Wu",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 ; Conference date: 08-08-2014 Through 10-08-2014",

year = "2015",

month = jan,

day = "12",

doi = "10.1109/CGNCC.2014.7007306",

language = "英语",

series = "2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014",

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

pages = "756--761",

booktitle = "2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014",

address = "美国",

}

Xu, L, Zhan, K, Jiang, H, Bai, L & Wu, M 2015, Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar. in 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014., 7007306, 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 756-761, 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014, Yantai, China, 8/08/14. https://doi.org/10.1109/CGNCC.2014.7007306

Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar. / Xu, Long; Zhan, Kun; Jiang, Hong et al.
2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 756-761 7007306 (2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014).

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

TY - GEN

T1 - Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar

AU - Xu, Long

AU - Zhan, Kun

AU - Jiang, Hong

AU - Bai, Liang

AU - Wu, Mengjie

PY - 2015/1/12

Y1 - 2015/1/12

N2 - For the ground-based passive radar to monitor low altitude threat targets, the radio frequency modulation (FM) signals transmitted by the broadcast stations is exploited, and an effective joint tracking and classification (JTC) algorithm based on aerodynamic model and radar cross section (RCS) is presented. The aerodynamic equations are used as motion model, and target classification is made possible by the inclusion of RCS in the measurement vector. Thus, tracking and classification are closely coupled, giving full play to the advantages of joint tracking and classification. Our algorithm is implemented by interacting multiple model regularized particle filter (IMMRPF) and simulations show the superiority of our algorithm.

AB - For the ground-based passive radar to monitor low altitude threat targets, the radio frequency modulation (FM) signals transmitted by the broadcast stations is exploited, and an effective joint tracking and classification (JTC) algorithm based on aerodynamic model and radar cross section (RCS) is presented. The aerodynamic equations are used as motion model, and target classification is made possible by the inclusion of RCS in the measurement vector. Thus, tracking and classification are closely coupled, giving full play to the advantages of joint tracking and classification. Our algorithm is implemented by interacting multiple model regularized particle filter (IMMRPF) and simulations show the superiority of our algorithm.

KW - aerodynamic model

KW - frequency modulation (FM)

KW - interacting multiple model regularized particle filter (IMMRPF)

KW - joint tracking and classification (JTC)

KW - radar cross section (RCS)

UR - https://www.scopus.com/pages/publications/84922572222

U2 - 10.1109/CGNCC.2014.7007306

DO - 10.1109/CGNCC.2014.7007306

M3 - 会议稿件

AN - SCOPUS:84922572222

T3 - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

SP - 756

EP - 761

BT - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

Y2 - 8 August 2014 through 10 August 2014

ER -

Xu L, Zhan K, Jiang H, Bai L, Wu M. Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar. In 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 756-761. 7007306. (2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014). doi: 10.1109/CGNCC.2014.7007306

Joint tracking and classification on aerodynamic model and RCS by ground-based passive radar

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