Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias

Cui Zhang; Yingmin Jia; Junping Du; Jun Zhang

doi:10.1109/ChiCC.2014.6896193

Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias

Cui Zhang^*, Yingmin Jia, Junping Du, Jun Zhang

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter (DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Editors	Shengyuan Xu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	7216-7221
Number of pages	6
ISBN (Electronic)	9789881563842
DOIs	https://doi.org/10.1109/ChiCC.2014.6896193
Publication status	Published - 11 Sept 2014
Externally published	Yes
Event	Proceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China Duration: 28 Jul 2014 → 30 Jul 2014

Publication series

Name	Proceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Country/Territory	China
City	Nanjing
Period	28/07/14 → 30/07/14

Keywords

Adaptive Two-stage Kalman Filter
Distributed Fusion
Dynamic Bias
Multi-sensor System

Access to Document

10.1109/ChiCC.2014.6896193

Cite this

Zhang, C., Jia, Y., Du, J., & Zhang, J. (2014). Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias. In S. Xu, & Q. Zhao (Eds.), Proceedings of the 33rd Chinese Control Conference, CCC 2014 (pp. 7216-7221). Article 6896193 (Proceedings of the 33rd Chinese Control Conference, CCC 2014). IEEE Computer Society. https://doi.org/10.1109/ChiCC.2014.6896193

@inproceedings{9f33e9152bb744ffa9e96e5711643c47,

title = "Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias",

abstract = "This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter (DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.",

keywords = "Adaptive Two-stage Kalman Filter, Distributed Fusion, Dynamic Bias, Multi-sensor System",

author = "Cui Zhang and Yingmin Jia and Junping Du and Jun Zhang",

note = "Publisher Copyright: {\textcopyright} 2014 TCCT, CAA.; Proceedings of the 33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",

year = "2014",

month = sep,

day = "11",

doi = "10.1109/ChiCC.2014.6896193",

language = "English",

series = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",

publisher = "IEEE Computer Society",

pages = "7216--7221",

editor = "Shengyuan Xu and Qianchuan Zhao",

booktitle = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",

address = "United States",

}

Zhang, C, Jia, Y, Du, J & Zhang, J 2014, Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias. in S Xu & Q Zhao (eds), Proceedings of the 33rd Chinese Control Conference, CCC 2014., 6896193, Proceedings of the 33rd Chinese Control Conference, CCC 2014, IEEE Computer Society, pp. 7216-7221, Proceedings of the 33rd Chinese Control Conference, CCC 2014, Nanjing, China, 28/07/14. https://doi.org/10.1109/ChiCC.2014.6896193

Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias. / Zhang, Cui; Jia, Yingmin; Du, Junping et al.
Proceedings of the 33rd Chinese Control Conference, CCC 2014. ed. / Shengyuan Xu; Qianchuan Zhao. IEEE Computer Society, 2014. p. 7216-7221 6896193 (Proceedings of the 33rd Chinese Control Conference, CCC 2014).

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

TY - GEN

T1 - Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias

AU - Zhang, Cui

AU - Jia, Yingmin

AU - Du, Junping

AU - Zhang, Jun

PY - 2014/9/11

Y1 - 2014/9/11

N2 - This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter (DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.

AB - This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter (DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.

KW - Adaptive Two-stage Kalman Filter

KW - Distributed Fusion

KW - Dynamic Bias

KW - Multi-sensor System

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U2 - 10.1109/ChiCC.2014.6896193

DO - 10.1109/ChiCC.2014.6896193

M3 - Conference contribution

AN - SCOPUS:84907931851

T3 - Proceedings of the 33rd Chinese Control Conference, CCC 2014

SP - 7216

EP - 7221

BT - Proceedings of the 33rd Chinese Control Conference, CCC 2014

A2 - Xu, Shengyuan

A2 - Zhao, Qianchuan

PB - IEEE Computer Society

T2 - Proceedings of the 33rd Chinese Control Conference, CCC 2014

Y2 - 28 July 2014 through 30 July 2014

ER -

Zhang C, Jia Y, Du J, Zhang J. Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias. In Xu S, Zhao Q, editors, Proceedings of the 33rd Chinese Control Conference, CCC 2014. IEEE Computer Society. 2014. p. 7216-7221. 6896193. (Proceedings of the 33rd Chinese Control Conference, CCC 2014). doi: 10.1109/ChiCC.2014.6896193

Distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias

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