Application of H∞ filter and rotation vector in alignment of SINS

Xuan Xiao; Meng Yin Fu; Qing Zhe Wang

Application of H∞ filter and rotation vector in alignment of SINS

Xuan Xiao^*, Meng Yin Fu, Qing Zhe Wang

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Instead of traditional Euler angles, rotation vectors were adopted to improve the speed in initial alignment of strapdown inertial navigation system(SINS). In many situations, the system model had an unknown bias and stochastic information, the H∞ filter was applied to improve the convergence of filter. The field test of SINS indicated that the heading was estimated much faster when the rotation vectors-based method was used than which the traditional Euler angle-based alignment method was used.

Original language	English
Pages (from-to)	195-198
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	30
Issue number	SUPPL. 1
Publication status	Published - Jun 2010

Keywords

Alignment
H∞ filter
Rotation vector
Strapdown inertial navigation system(SINS)

Cite this

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abstract = "Instead of traditional Euler angles, rotation vectors were adopted to improve the speed in initial alignment of strapdown inertial navigation system(SINS). In many situations, the system model had an unknown bias and stochastic information, the H∞ filter was applied to improve the convergence of filter. The field test of SINS indicated that the heading was estimated much faster when the rotation vectors-based method was used than which the traditional Euler angle-based alignment method was used.",

keywords = "Alignment, H∞ filter, Rotation vector, Strapdown inertial navigation system(SINS)",

author = "Xuan Xiao and Fu, {Meng Yin} and Wang, {Qing Zhe}",

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T1 - Application of H∞ filter and rotation vector in alignment of SINS

AU - Xiao, Xuan

AU - Fu, Meng Yin

AU - Wang, Qing Zhe

PY - 2010/6

Y1 - 2010/6

N2 - Instead of traditional Euler angles, rotation vectors were adopted to improve the speed in initial alignment of strapdown inertial navigation system(SINS). In many situations, the system model had an unknown bias and stochastic information, the H∞ filter was applied to improve the convergence of filter. The field test of SINS indicated that the heading was estimated much faster when the rotation vectors-based method was used than which the traditional Euler angle-based alignment method was used.

AB - Instead of traditional Euler angles, rotation vectors were adopted to improve the speed in initial alignment of strapdown inertial navigation system(SINS). In many situations, the system model had an unknown bias and stochastic information, the H∞ filter was applied to improve the convergence of filter. The field test of SINS indicated that the heading was estimated much faster when the rotation vectors-based method was used than which the traditional Euler angle-based alignment method was used.

KW - Alignment

KW - H∞ filter

KW - Rotation vector

KW - Strapdown inertial navigation system(SINS)

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SN - 1001-0645

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - SUPPL. 1

ER -

Application of H∞ filter and rotation vector in alignment of SINS

Abstract

Keywords

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