A data fusion algorithm based on weighted least square for agile projectile's attitude determination

Yong Wang; Zhide Liu; Jiabin Chen; Chunlei Song; Jun Wang

doi:10.1109/WNIS.2009.28

A data fusion algorithm based on weighted least square for agile projectile's attitude determination

Yong Wang^*, Zhide Liu, Jiabin Chen, Chunlei Song, Jun Wang

^*Corresponding author for this work

School of Automation

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

Abstract

In this paper, a data fusion algorithm based on weighted least square is proposed to determine the attitude of low-rotary agile projectile. Three micro electro-mechanical system (MEMS) accelerometers are used as strapdown inertial measurement units (IMUs), and the unscented Kalman filter is used to directly estimate attitude of projectile by gravity components of measurement values of three accelerometers. The attitude estimation by three accelerometers is fused with the estimation by using three MEMS gyroscopes based on weighted least square. Experimental results on the three-axis flight test rotary table show the proposed data fusion algorithm effectively improves the precision of attitude estimation and stability of attitude determination system.

Original language	English
Title of host publication	International Conference on Wireless Networks and Information Systems, WNIS 2009
Pages	154-157
Number of pages	4
DOIs	https://doi.org/10.1109/WNIS.2009.28
Publication status	Published - 2009
Event	International Conference on Wireless Networks and Information Systems, WNIS 2009 - Shanghai, China Duration: 28 Dec 2009 → 29 Dec 2009

Publication series

Name	International Conference on Wireless Networks and Information Systems, WNIS 2009

Conference

Conference	International Conference on Wireless Networks and Information Systems, WNIS 2009
Country/Territory	China
City	Shanghai
Period	28/12/09 → 29/12/09

Keywords

Attitude determination
Data fusion
Unscented Kalman filter
Weighted least square

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10.1109/WNIS.2009.28

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Wang, Y., Liu, Z., Chen, J., Song, C., & Wang, J. (2009). A data fusion algorithm based on weighted least square for agile projectile's attitude determination. In International Conference on Wireless Networks and Information Systems, WNIS 2009 (pp. 154-157). Article 5381873 (International Conference on Wireless Networks and Information Systems, WNIS 2009). https://doi.org/10.1109/WNIS.2009.28

@inproceedings{5029f80d573a44229bcd401bb44ae784,

title = "A data fusion algorithm based on weighted least square for agile projectile's attitude determination",

abstract = "In this paper, a data fusion algorithm based on weighted least square is proposed to determine the attitude of low-rotary agile projectile. Three micro electro-mechanical system (MEMS) accelerometers are used as strapdown inertial measurement units (IMUs), and the unscented Kalman filter is used to directly estimate attitude of projectile by gravity components of measurement values of three accelerometers. The attitude estimation by three accelerometers is fused with the estimation by using three MEMS gyroscopes based on weighted least square. Experimental results on the three-axis flight test rotary table show the proposed data fusion algorithm effectively improves the precision of attitude estimation and stability of attitude determination system.",

keywords = "Attitude determination, Data fusion, Unscented Kalman filter, Weighted least square",

author = "Yong Wang and Zhide Liu and Jiabin Chen and Chunlei Song and Jun Wang",

year = "2009",

doi = "10.1109/WNIS.2009.28",

language = "English",

isbn = "9780769539010",

series = "International Conference on Wireless Networks and Information Systems, WNIS 2009",

pages = "154--157",

booktitle = "International Conference on Wireless Networks and Information Systems, WNIS 2009",

note = "International Conference on Wireless Networks and Information Systems, WNIS 2009 ; Conference date: 28-12-2009 Through 29-12-2009",

}

Wang, Y, Liu, Z, Chen, J , Song, C & Wang, J 2009, A data fusion algorithm based on weighted least square for agile projectile's attitude determination. in International Conference on Wireless Networks and Information Systems, WNIS 2009., 5381873, International Conference on Wireless Networks and Information Systems, WNIS 2009, pp. 154-157, International Conference on Wireless Networks and Information Systems, WNIS 2009, Shanghai, China, 28/12/09. https://doi.org/10.1109/WNIS.2009.28

A data fusion algorithm based on weighted least square for agile projectile's attitude determination. / Wang, Yong; Liu, Zhide; Chen, Jiabin et al.
International Conference on Wireless Networks and Information Systems, WNIS 2009. 2009. p. 154-157 5381873 (International Conference on Wireless Networks and Information Systems, WNIS 2009).

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

TY - GEN

T1 - A data fusion algorithm based on weighted least square for agile projectile's attitude determination

AU - Wang, Yong

AU - Liu, Zhide

AU - Chen, Jiabin

AU - Song, Chunlei

AU - Wang, Jun

PY - 2009

Y1 - 2009

N2 - In this paper, a data fusion algorithm based on weighted least square is proposed to determine the attitude of low-rotary agile projectile. Three micro electro-mechanical system (MEMS) accelerometers are used as strapdown inertial measurement units (IMUs), and the unscented Kalman filter is used to directly estimate attitude of projectile by gravity components of measurement values of three accelerometers. The attitude estimation by three accelerometers is fused with the estimation by using three MEMS gyroscopes based on weighted least square. Experimental results on the three-axis flight test rotary table show the proposed data fusion algorithm effectively improves the precision of attitude estimation and stability of attitude determination system.

AB - In this paper, a data fusion algorithm based on weighted least square is proposed to determine the attitude of low-rotary agile projectile. Three micro electro-mechanical system (MEMS) accelerometers are used as strapdown inertial measurement units (IMUs), and the unscented Kalman filter is used to directly estimate attitude of projectile by gravity components of measurement values of three accelerometers. The attitude estimation by three accelerometers is fused with the estimation by using three MEMS gyroscopes based on weighted least square. Experimental results on the three-axis flight test rotary table show the proposed data fusion algorithm effectively improves the precision of attitude estimation and stability of attitude determination system.

KW - Attitude determination

KW - Data fusion

KW - Unscented Kalman filter

KW - Weighted least square

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U2 - 10.1109/WNIS.2009.28

DO - 10.1109/WNIS.2009.28

M3 - Conference contribution

AN - SCOPUS:77950894027

SN - 9780769539010

T3 - International Conference on Wireless Networks and Information Systems, WNIS 2009

SP - 154

EP - 157

BT - International Conference on Wireless Networks and Information Systems, WNIS 2009

T2 - International Conference on Wireless Networks and Information Systems, WNIS 2009

Y2 - 28 December 2009 through 29 December 2009

ER -

A data fusion algorithm based on weighted least square for agile projectile's attitude determination

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