Sequential unscented Kalman Filter for radar target tracking with range rate measurements

Zhansheng Duan; X. Rong Li; Chongzhao Han; Hongyan Zhu

doi:10.1109/ICIF.2005.1591846

Sequential unscented Kalman Filter for radar target tracking with range rate measurements

Zhansheng Duan
, X. Rong Li
, Chongzhao Han
, Hongyan Zhu

Faculty of Electronic and Information Engineering

University of New Orleans
Xi'an Jiaotong University

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

60 Scopus citations

Abstract

To solve the radar target tracking problem with range rate measurements, in which the errors between range and range rate measurements are correlated, a sequential Unscented Kalman filter (SUKF) is proposed in this paper. A pseudo measurement is constructed by block-partitioned Cholesky factorization first, this can keep the range, bearing and elevation (or two direction cosine) measurements unchanged, while the errors between the original range and range rate measurement are decorrelated; then based on the UKF, the bearing, elevation (or two direction cosine) and the pseudo measurement are sequentially processed to enhance the filtering precision and the computational efficiency simultaneously. Validity and consistency of the new proposed algorithm is verified by Monte-Carlo simulation.

Original language	English
Title of host publication	2005 7th International Conference on Information Fusion, FUSION
Publisher	IEEE Computer Society
Pages	130-137
Number of pages	8
ISBN (Print)	0780392868, 9780780392861
DOIs	https://doi.org/10.1109/ICIF.2005.1591846
State	Published - 2005
Event	2005 8th International Conference on Information Fusion, FUSION - Philadelphia, PA, United States Duration: 25 Jul 2005 → 28 Jul 2005

Publication series

Name	2005 7th International Conference on Information Fusion, FUSION
Volume	1

Conference

Conference	2005 8th International Conference on Information Fusion, FUSION
Country/Territory	United States
City	Philadelphia, PA
Period	25/07/05 → 28/07/05

Keywords

EKF
Radar target tracking
Range rate measurement
Sequential processing
Unscented Kalman filter (UKF)

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10.1109/ICIF.2005.1591846

Cite this

Duan, Z., Li, X. R., Han, C., & Zhu, H. (2005). Sequential unscented Kalman Filter for radar target tracking with range rate measurements. In 2005 7th International Conference on Information Fusion, FUSION (pp. 130-137). Article 1591846 (2005 7th International Conference on Information Fusion, FUSION; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICIF.2005.1591846

@inproceedings{664a12e4106243fab662772b31c37877,

title = "Sequential unscented Kalman Filter for radar target tracking with range rate measurements",

abstract = "To solve the radar target tracking problem with range rate measurements, in which the errors between range and range rate measurements are correlated, a sequential Unscented Kalman filter (SUKF) is proposed in this paper. A pseudo measurement is constructed by block-partitioned Cholesky factorization first, this can keep the range, bearing and elevation (or two direction cosine) measurements unchanged, while the errors between the original range and range rate measurement are decorrelated; then based on the UKF, the bearing, elevation (or two direction cosine) and the pseudo measurement are sequentially processed to enhance the filtering precision and the computational efficiency simultaneously. Validity and consistency of the new proposed algorithm is verified by Monte-Carlo simulation.",

keywords = "EKF, Radar target tracking, Range rate measurement, Sequential processing, Unscented Kalman filter (UKF)",

author = "Zhansheng Duan and Li, \{X. Rong\} and Chongzhao Han and Hongyan Zhu",

year = "2005",

doi = "10.1109/ICIF.2005.1591846",

language = "英语",

isbn = "0780392868",

series = "2005 7th International Conference on Information Fusion, FUSION",

publisher = "IEEE Computer Society",

pages = "130--137",

booktitle = "2005 7th International Conference on Information Fusion, FUSION",

note = "2005 8th International Conference on Information Fusion, FUSION ; Conference date: 25-07-2005 Through 28-07-2005",

}

Duan, Z , Li, XR, Han, C & Zhu, H 2005, Sequential unscented Kalman Filter for radar target tracking with range rate measurements. in 2005 7th International Conference on Information Fusion, FUSION., 1591846, 2005 7th International Conference on Information Fusion, FUSION, vol. 1, IEEE Computer Society, pp. 130-137, 2005 8th International Conference on Information Fusion, FUSION, Philadelphia, PA, United States, 25/07/05. https://doi.org/10.1109/ICIF.2005.1591846

Sequential unscented Kalman Filter for radar target tracking with range rate measurements. / Duan, Zhansheng ; Li, X. Rong; Han, Chongzhao et al.
2005 7th International Conference on Information Fusion, FUSION. IEEE Computer Society, 2005. p. 130-137 1591846 (2005 7th International Conference on Information Fusion, FUSION; Vol. 1).

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

TY - GEN

T1 - Sequential unscented Kalman Filter for radar target tracking with range rate measurements

AU - Duan, Zhansheng

AU - Li, X. Rong

AU - Han, Chongzhao

AU - Zhu, Hongyan

PY - 2005

Y1 - 2005

N2 - To solve the radar target tracking problem with range rate measurements, in which the errors between range and range rate measurements are correlated, a sequential Unscented Kalman filter (SUKF) is proposed in this paper. A pseudo measurement is constructed by block-partitioned Cholesky factorization first, this can keep the range, bearing and elevation (or two direction cosine) measurements unchanged, while the errors between the original range and range rate measurement are decorrelated; then based on the UKF, the bearing, elevation (or two direction cosine) and the pseudo measurement are sequentially processed to enhance the filtering precision and the computational efficiency simultaneously. Validity and consistency of the new proposed algorithm is verified by Monte-Carlo simulation.

AB - To solve the radar target tracking problem with range rate measurements, in which the errors between range and range rate measurements are correlated, a sequential Unscented Kalman filter (SUKF) is proposed in this paper. A pseudo measurement is constructed by block-partitioned Cholesky factorization first, this can keep the range, bearing and elevation (or two direction cosine) measurements unchanged, while the errors between the original range and range rate measurement are decorrelated; then based on the UKF, the bearing, elevation (or two direction cosine) and the pseudo measurement are sequentially processed to enhance the filtering precision and the computational efficiency simultaneously. Validity and consistency of the new proposed algorithm is verified by Monte-Carlo simulation.

KW - EKF

KW - Radar target tracking

KW - Range rate measurement

KW - Sequential processing

KW - Unscented Kalman filter (UKF)

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U2 - 10.1109/ICIF.2005.1591846

DO - 10.1109/ICIF.2005.1591846

M3 - 会议稿件

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SN - 0780392868

SN - 9780780392861

T3 - 2005 7th International Conference on Information Fusion, FUSION

SP - 130

EP - 137

BT - 2005 7th International Conference on Information Fusion, FUSION

PB - IEEE Computer Society

T2 - 2005 8th International Conference on Information Fusion, FUSION

Y2 - 25 July 2005 through 28 July 2005

ER -

Sequential unscented Kalman Filter for radar target tracking with range rate measurements

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Keywords

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