Research on non-gyro projectile's attitude measurement based on improved unscented Kalman filter

Zhaohua Liu; Jiabin Chen; Yong Wang; Chunlei Song; Jun Wang; Wei Feng

doi:10.4028/www.scientific.net/KEM.480-481.1111

Research on non-gyro projectile's attitude measurement based on improved unscented Kalman filter

Zhaohua Liu^*, Jiabin Chen, Yong Wang, Chunlei Song, Jun Wang, Wei Feng

^*Corresponding author for this work

School of Automation

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

Abstract

Considering the control requirements of guided projectile, a novel method is studied that using three low-cost MEMS accelerometers as inertial measurement unit to construct state equation and measurement equation of system, using improved unscented Kalman filter (IUKF) to estimate the state of system. For the system characteristic of linear state equation and nonlinear measurement equation, the improved UKF nonlinear filter algorithm which combines KF and UKF was proposed. At the same time, utilizing minimal skew simplex sampling to reduce the number of sigma points, computational efficiency is enhanced. The simulation experimental results show that using IUKF algorithm can obtains good precision of estimation.

Original language	English
Title of host publication	Materials Engineering for Advanced Technologies
Publisher	Trans Tech Publications Ltd.
Pages	1111-1116
Number of pages	6
ISBN (Print)	9783037851319
DOIs	https://doi.org/10.4028/www.scientific.net/KEM.480-481.1111
Publication status	Published - 2011

Publication series

Name	Key Engineering Materials
Volume	480-481
ISSN (Print)	1013-9826
ISSN (Electronic)	1662-9795

Keywords

Attitude measurement
Non-gyro
Nonlinear
Reduced sigma point
Unscented Kalman filter

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10.4028/www.scientific.net/KEM.480-481.1111

Cite this

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title = "Research on non-gyro projectile's attitude measurement based on improved unscented Kalman filter",

abstract = "Considering the control requirements of guided projectile, a novel method is studied that using three low-cost MEMS accelerometers as inertial measurement unit to construct state equation and measurement equation of system, using improved unscented Kalman filter (IUKF) to estimate the state of system. For the system characteristic of linear state equation and nonlinear measurement equation, the improved UKF nonlinear filter algorithm which combines KF and UKF was proposed. At the same time, utilizing minimal skew simplex sampling to reduce the number of sigma points, computational efficiency is enhanced. The simulation experimental results show that using IUKF algorithm can obtains good precision of estimation.",

keywords = "Attitude measurement, Non-gyro, Nonlinear, Reduced sigma point, Unscented Kalman filter",

author = "Zhaohua Liu and Jiabin Chen and Yong Wang and Chunlei Song and Jun Wang and Wei Feng",

year = "2011",

doi = "10.4028/www.scientific.net/KEM.480-481.1111",

language = "English",

isbn = "9783037851319",

series = "Key Engineering Materials",

publisher = "Trans Tech Publications Ltd.",

pages = "1111--1116",

booktitle = "Materials Engineering for Advanced Technologies",

address = "Switzerland",

}

Research on non-gyro projectile's attitude measurement based on improved unscented Kalman filter. / Liu, Zhaohua; Chen, Jiabin; Wang, Yong et al.
Materials Engineering for Advanced Technologies. Trans Tech Publications Ltd., 2011. p. 1111-1116 (Key Engineering Materials; Vol. 480-481).

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

TY - GEN

T1 - Research on non-gyro projectile's attitude measurement based on improved unscented Kalman filter

AU - Liu, Zhaohua

AU - Chen, Jiabin

AU - Wang, Yong

AU - Song, Chunlei

AU - Wang, Jun

AU - Feng, Wei

PY - 2011

Y1 - 2011

N2 - Considering the control requirements of guided projectile, a novel method is studied that using three low-cost MEMS accelerometers as inertial measurement unit to construct state equation and measurement equation of system, using improved unscented Kalman filter (IUKF) to estimate the state of system. For the system characteristic of linear state equation and nonlinear measurement equation, the improved UKF nonlinear filter algorithm which combines KF and UKF was proposed. At the same time, utilizing minimal skew simplex sampling to reduce the number of sigma points, computational efficiency is enhanced. The simulation experimental results show that using IUKF algorithm can obtains good precision of estimation.

AB - Considering the control requirements of guided projectile, a novel method is studied that using three low-cost MEMS accelerometers as inertial measurement unit to construct state equation and measurement equation of system, using improved unscented Kalman filter (IUKF) to estimate the state of system. For the system characteristic of linear state equation and nonlinear measurement equation, the improved UKF nonlinear filter algorithm which combines KF and UKF was proposed. At the same time, utilizing minimal skew simplex sampling to reduce the number of sigma points, computational efficiency is enhanced. The simulation experimental results show that using IUKF algorithm can obtains good precision of estimation.

KW - Attitude measurement

KW - Non-gyro

KW - Nonlinear

KW - Reduced sigma point

KW - Unscented Kalman filter

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U2 - 10.4028/www.scientific.net/KEM.480-481.1111

DO - 10.4028/www.scientific.net/KEM.480-481.1111

M3 - Conference contribution

AN - SCOPUS:79960462884

SN - 9783037851319

T3 - Key Engineering Materials

SP - 1111

EP - 1116

BT - Materials Engineering for Advanced Technologies

PB - Trans Tech Publications Ltd.

ER -

Research on non-gyro projectile's attitude measurement based on improved unscented Kalman filter

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