Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance

Lumin Ye; Yutao Zhang; Jinping Sun; Xingchen Zhu

doi:10.1109/Radar53847.2021.10028375

Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance

Lumin Ye
, Yutao Zhang
, Jinping Sun
, Xingchen Zhu

School of Electronic and Information Engineering

Beihang University
China State Shipbuilding Corporation

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

Abstract

In the application of maneuvering target tracking, online performance monitoring helps to optimize the way of radar resource allocation and improve tracking accuracy. To solve the problem of very high computation cost in the existing online monitoring methods based on information geometry, we propose an online monitoring method for tracking performance based on the Frèchet distance in this paper. The Frèchet distance under the multivariate Gaussian distribution takes into account the mean and covariance in the filtering, which can get a more reasonable error measurement. The advantage of the method is high computational efficiency, which is conducive to online evaluation. Simulation results show that the performance monitoring results of this method for maneuvering targets are equivalent to the shooting algorithm based on information geometry, but the computation cost is significantly lower than that of the shooting algorithm.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	838-842
Number of pages	5
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10028375
State	Published - 2021
Event	2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China Duration: 15 Dec 2021 → 19 Dec 2021

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2021-December
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2021 CIE International Conference on Radar, Radar 2021
Country/Territory	China
City	Haikou, Hainan
Period	15/12/21 → 19/12/21

Keywords

Frèchet distance
Information geometry
Online performance monitoring
Unscented Kalman Filter

Access to Document

10.1109/Radar53847.2021.10028375

Cite this

Ye, L., Zhang, Y., Sun, J., & Zhu, X. (2021). Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 838-842). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10028375

@inproceedings{c14b78f2d564460f9bd2c5b8a34ba6b3,

title = "Maneuvering Target Tracking Performance Online Monitoring Based on Fr{\'e}chet Distance",

abstract = "In the application of maneuvering target tracking, online performance monitoring helps to optimize the way of radar resource allocation and improve tracking accuracy. To solve the problem of very high computation cost in the existing online monitoring methods based on information geometry, we propose an online monitoring method for tracking performance based on the Fr{\`e}chet distance in this paper. The Fr{\`e}chet distance under the multivariate Gaussian distribution takes into account the mean and covariance in the filtering, which can get a more reasonable error measurement. The advantage of the method is high computational efficiency, which is conducive to online evaluation. Simulation results show that the performance monitoring results of this method for maneuvering targets are equivalent to the shooting algorithm based on information geometry, but the computation cost is significantly lower than that of the shooting algorithm.",

keywords = "Fr{\`e}chet distance, Information geometry, Online performance monitoring, Unscented Kalman Filter",

author = "Lumin Ye and Yutao Zhang and Jinping Sun and Xingchen Zhu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",

year = "2021",

doi = "10.1109/Radar53847.2021.10028375",

language = "英语",

series = "Proceedings of the IEEE Radar Conference",

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

pages = "838--842",

booktitle = "2021 CIE International Conference on Radar, Radar 2021",

address = "美国",

}

Ye, L, Zhang, Y, Sun, J & Zhu, X 2021, Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance. in 2021 CIE International Conference on Radar, Radar 2021. Proceedings of the IEEE Radar Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 838-842, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10028375

Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance. / Ye, Lumin; Zhang, Yutao; Sun, Jinping et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 838-842 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

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

TY - GEN

T1 - Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance

AU - Ye, Lumin

AU - Zhang, Yutao

AU - Sun, Jinping

AU - Zhu, Xingchen

PY - 2021

Y1 - 2021

N2 - In the application of maneuvering target tracking, online performance monitoring helps to optimize the way of radar resource allocation and improve tracking accuracy. To solve the problem of very high computation cost in the existing online monitoring methods based on information geometry, we propose an online monitoring method for tracking performance based on the Frèchet distance in this paper. The Frèchet distance under the multivariate Gaussian distribution takes into account the mean and covariance in the filtering, which can get a more reasonable error measurement. The advantage of the method is high computational efficiency, which is conducive to online evaluation. Simulation results show that the performance monitoring results of this method for maneuvering targets are equivalent to the shooting algorithm based on information geometry, but the computation cost is significantly lower than that of the shooting algorithm.

AB - In the application of maneuvering target tracking, online performance monitoring helps to optimize the way of radar resource allocation and improve tracking accuracy. To solve the problem of very high computation cost in the existing online monitoring methods based on information geometry, we propose an online monitoring method for tracking performance based on the Frèchet distance in this paper. The Frèchet distance under the multivariate Gaussian distribution takes into account the mean and covariance in the filtering, which can get a more reasonable error measurement. The advantage of the method is high computational efficiency, which is conducive to online evaluation. Simulation results show that the performance monitoring results of this method for maneuvering targets are equivalent to the shooting algorithm based on information geometry, but the computation cost is significantly lower than that of the shooting algorithm.

KW - Frèchet distance

KW - Information geometry

KW - Online performance monitoring

KW - Unscented Kalman Filter

UR - https://www.scopus.com/pages/publications/85181162588

U2 - 10.1109/Radar53847.2021.10028375

DO - 10.1109/Radar53847.2021.10028375

M3 - 会议稿件

AN - SCOPUS:85181162588

T3 - Proceedings of the IEEE Radar Conference

SP - 838

EP - 842

BT - 2021 CIE International Conference on Radar, Radar 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 CIE International Conference on Radar, Radar 2021

Y2 - 15 December 2021 through 19 December 2021

ER -

Maneuvering Target Tracking Performance Online Monitoring Based on Fréchet Distance

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this