Particle filter based joint tracking and classification

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

doi:10.1109/CGNCC.2014.7007307

Particle filter based joint tracking and classification

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

自动化科学与电气工程学院

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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

To overcome the high computational complexity of the existing joint tracking and classification (JTC) algorithm, particle filter (PF) is introduced to replace numerical integration in solving JTC, and hence computational load is considerably reduced. Our particle filter based JTC (PF-JTC) algorithm makes use of the target kinematic information provided by the low-resolution radar (LLR) and the target electromagnetic equipment information provided by the electronic support measure (ESM) to improve the performance of tracking and classification simultaneously. Simulation results verify the effectiveness of the proposed PF-JTC algorithm.

源语言	英语
主期刊名	2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
出版商	Institute of Electrical and Electronics Engineers Inc.
页	762-766
页数	5
ISBN（电子版）	9781479946990
DOI	https://doi.org/10.1109/CGNCC.2014.7007307
出版状态	已出版 - 12 1月 2015
活动	6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 - Yantai, 中国期限: 8 8月 2014 → 10 8月 2014

丛书

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

会议

会议	6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
国家/地区	中国
市	Yantai
时期	8/08/14 → 10/08/14

访问文件

10.1109/CGNCC.2014.7007307

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链接到 Scopus 的出版物

引用此

Zhan, K., Xu, L., Jiang, H., Bai, L., & Wu, M. (2015). Particle filter based joint tracking and classification. 在 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 (页码 762-766). 期刊论文 7007307 (2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CGNCC.2014.7007307

@inproceedings{5568057e10914fcb8e739c719a4a654f,

title = "Particle filter based joint tracking and classification",

abstract = "To overcome the high computational complexity of the existing joint tracking and classification (JTC) algorithm, particle filter (PF) is introduced to replace numerical integration in solving JTC, and hence computational load is considerably reduced. Our particle filter based JTC (PF-JTC) algorithm makes use of the target kinematic information provided by the low-resolution radar (LLR) and the target electromagnetic equipment information provided by the electronic support measure (ESM) to improve the performance of tracking and classification simultaneously. Simulation results verify the effectiveness of the proposed PF-JTC algorithm.",

keywords = "electronic support measure (ESM), joint tracking and classification (JTC), low-resolution radar (LRR), particle filter (PF), particle filter based JTC (PF-JTC)",

author = "Kun Zhan and Long Xu 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.2014.7007307",

language = "英语",

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

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

pages = "762--766",

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

address = "美国",

}

Zhan, K, Xu, L, Jiang, H, Bai, L & Wu, M 2015, Particle filter based joint tracking and classification. 在 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014., 7007307, 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014, Institute of Electrical and Electronics Engineers Inc., 页码 762-766, 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014, Yantai, 中国, 8/08/14. https://doi.org/10.1109/CGNCC.2014.7007307

Particle filter based joint tracking and classification. / Zhan, Kun; Xu, Long; Jiang, Hong 等.
2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 页码 762-766 7007307 (2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Particle filter based joint tracking and classification

AU - Zhan, Kun

AU - Xu, Long

AU - Jiang, Hong

AU - Bai, Liang

AU - Wu, Mengjie

PY - 2015/1/12

Y1 - 2015/1/12

N2 - To overcome the high computational complexity of the existing joint tracking and classification (JTC) algorithm, particle filter (PF) is introduced to replace numerical integration in solving JTC, and hence computational load is considerably reduced. Our particle filter based JTC (PF-JTC) algorithm makes use of the target kinematic information provided by the low-resolution radar (LLR) and the target electromagnetic equipment information provided by the electronic support measure (ESM) to improve the performance of tracking and classification simultaneously. Simulation results verify the effectiveness of the proposed PF-JTC algorithm.

AB - To overcome the high computational complexity of the existing joint tracking and classification (JTC) algorithm, particle filter (PF) is introduced to replace numerical integration in solving JTC, and hence computational load is considerably reduced. Our particle filter based JTC (PF-JTC) algorithm makes use of the target kinematic information provided by the low-resolution radar (LLR) and the target electromagnetic equipment information provided by the electronic support measure (ESM) to improve the performance of tracking and classification simultaneously. Simulation results verify the effectiveness of the proposed PF-JTC algorithm.

KW - electronic support measure (ESM)

KW - joint tracking and classification (JTC)

KW - low-resolution radar (LRR)

KW - particle filter (PF)

KW - particle filter based JTC (PF-JTC)

UR - https://www.scopus.com/pages/publications/84922515036

U2 - 10.1109/CGNCC.2014.7007307

DO - 10.1109/CGNCC.2014.7007307

M3 - 会议稿件

AN - SCOPUS:84922515036

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

SP - 762

EP - 766

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 -

Particle filter based joint tracking and classification

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会议

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