Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation

Xiaolin Gong; Jiancheng Fang

doi:10.1109/ICMA.2007.4303770

Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation

Xiaolin Gong^*
, Jiancheng Fang

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University

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

10 Scopus citations

Abstract

Position and orientation system (POS) has been used widely for airborne synthetic aperture radar (SAR) motion compensation. In order to improve the navigating precision of POS, first the nonlinear mathematics model based on quaternion error equations is established, then one method of combining unscented Kalman filter (UKF) and extended Kalman filter (EKF) and the other method of combining model predictive filter (MPF) and extended Kalman filter (EKF) are used in POS, and comparing these two methods with EKF and KF in precision and real time. The results of flight tests show that the method of combining UPF and EKF has the best precision and convergence in these four methods, and the method of combining MPF and EKF decreasing the time of computing by reducing the number of states.

Original language	English
Title of host publication	Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
Pages	1495-1500
Number of pages	6
DOIs	https://doi.org/10.1109/ICMA.2007.4303770
State	Published - 2007
Event	2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 - Harbin, China Duration: 5 Aug 2007 → 8 Aug 2007

Publication series

Name	Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

Conference

Conference	2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
Country/Territory	China
City	Harbin
Period	5/08/07 → 8/08/07

Keywords

MPF
Motion compensation
Position and orientation system
Synthetic aperture radar
UKF

Access to Document

10.1109/ICMA.2007.4303770

Cite this

Gong, X., & Fang, J. (2007). Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation. In Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 (pp. 1495-1500). Article 4303770 (Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007). https://doi.org/10.1109/ICMA.2007.4303770

@inproceedings{42941c04ba8d47c6b2aff159e90119a9,

title = "Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation",

abstract = "Position and orientation system (POS) has been used widely for airborne synthetic aperture radar (SAR) motion compensation. In order to improve the navigating precision of POS, first the nonlinear mathematics model based on quaternion error equations is established, then one method of combining unscented Kalman filter (UKF) and extended Kalman filter (EKF) and the other method of combining model predictive filter (MPF) and extended Kalman filter (EKF) are used in POS, and comparing these two methods with EKF and KF in precision and real time. The results of flight tests show that the method of combining UPF and EKF has the best precision and convergence in these four methods, and the method of combining MPF and EKF decreasing the time of computing by reducing the number of states.",

keywords = "MPF, Motion compensation, Position and orientation system, Synthetic aperture radar, UKF",

author = "Xiaolin Gong and Jiancheng Fang",

year = "2007",

doi = "10.1109/ICMA.2007.4303770",

language = "英语",

isbn = "1424408288",

series = "Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007",

pages = "1495--1500",

booktitle = "Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007",

note = "2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 ; Conference date: 05-08-2007 Through 08-08-2007",

}

Gong, X & Fang, J 2007, Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation. in Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007., 4303770, Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007, pp. 1495-1500, 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007, Harbin, China, 5/08/07. https://doi.org/10.1109/ICMA.2007.4303770

Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation. / Gong, Xiaolin; Fang, Jiancheng.
Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007. 2007. p. 1495-1500 4303770 (Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007).

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

TY - GEN

T1 - Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation

AU - Gong, Xiaolin

AU - Fang, Jiancheng

PY - 2007

Y1 - 2007

N2 - Position and orientation system (POS) has been used widely for airborne synthetic aperture radar (SAR) motion compensation. In order to improve the navigating precision of POS, first the nonlinear mathematics model based on quaternion error equations is established, then one method of combining unscented Kalman filter (UKF) and extended Kalman filter (EKF) and the other method of combining model predictive filter (MPF) and extended Kalman filter (EKF) are used in POS, and comparing these two methods with EKF and KF in precision and real time. The results of flight tests show that the method of combining UPF and EKF has the best precision and convergence in these four methods, and the method of combining MPF and EKF decreasing the time of computing by reducing the number of states.

AB - Position and orientation system (POS) has been used widely for airborne synthetic aperture radar (SAR) motion compensation. In order to improve the navigating precision of POS, first the nonlinear mathematics model based on quaternion error equations is established, then one method of combining unscented Kalman filter (UKF) and extended Kalman filter (EKF) and the other method of combining model predictive filter (MPF) and extended Kalman filter (EKF) are used in POS, and comparing these two methods with EKF and KF in precision and real time. The results of flight tests show that the method of combining UPF and EKF has the best precision and convergence in these four methods, and the method of combining MPF and EKF decreasing the time of computing by reducing the number of states.

KW - MPF

KW - Motion compensation

KW - Position and orientation system

KW - Synthetic aperture radar

KW - UKF

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M3 - 会议稿件

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SN - 1424408288

SN - 9781424408283

T3 - Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

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BT - Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

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ER -

Gong X, Fang J. Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation. In Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007. 2007. p. 1495-1500. 4303770. (Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007). doi: 10.1109/ICMA.2007.4303770

Analyses and comparisons of some nonlinear Kalman filters in POS for airborne SAR motion compensation

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