Optimal two-position alignment for SINS under inertial frame

Wei Gao; Pan Ye; Hongmei Bai; Weitong Xu

Optimal two-position alignment for SINS under inertial frame

Wei Gao
, Pan Ye
, Hongmei Bai
, Weitong Xu

Harbin Engineering University

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

2 Scopus citations

Abstract

The filter state components are not completely observable in a Kalman filter on an inertial frame. Aiming at this problem, we propose a method of two-position alignment. Based on the theory of piece-wise constant system (PWCS) and the method of singular value decomposition (SVD), we can get the highest degree of observability as rotating the heading axis among the three axes. In addition, the simulation is carried out with the heading error specification, and the conclusion rotation with 180° along the heading axis is the optimal.

Original language	English
Pages (from-to)	386-388
Number of pages	3
Journal	Yadian Yu Shengguang/Piezoelectrics and Acoustooptics
Volume	37
Issue number	3
State	Published - 1 Jun 2015
Externally published	Yes

Keywords

Inertial frame
Kalman filter
Observability
Strapdown inertial navigation system
Two-position alignment

Cite this

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title = "Optimal two-position alignment for SINS under inertial frame",

abstract = "The filter state components are not completely observable in a Kalman filter on an inertial frame. Aiming at this problem, we propose a method of two-position alignment. Based on the theory of piece-wise constant system (PWCS) and the method of singular value decomposition (SVD), we can get the highest degree of observability as rotating the heading axis among the three axes. In addition, the simulation is carried out with the heading error specification, and the conclusion rotation with 180° along the heading axis is the optimal.",

keywords = "Inertial frame, Kalman filter, Observability, Strapdown inertial navigation system, Two-position alignment",

author = "Wei Gao and Pan Ye and Hongmei Bai and Weitong Xu",

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pages = "386--388",

journal = "Yadian Yu Shengguang/Piezoelectrics and Acoustooptics",

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TY - JOUR

T1 - Optimal two-position alignment for SINS under inertial frame

AU - Gao, Wei

AU - Ye, Pan

AU - Bai, Hongmei

AU - Xu, Weitong

PY - 2015/6/1

Y1 - 2015/6/1

N2 - The filter state components are not completely observable in a Kalman filter on an inertial frame. Aiming at this problem, we propose a method of two-position alignment. Based on the theory of piece-wise constant system (PWCS) and the method of singular value decomposition (SVD), we can get the highest degree of observability as rotating the heading axis among the three axes. In addition, the simulation is carried out with the heading error specification, and the conclusion rotation with 180° along the heading axis is the optimal.

AB - The filter state components are not completely observable in a Kalman filter on an inertial frame. Aiming at this problem, we propose a method of two-position alignment. Based on the theory of piece-wise constant system (PWCS) and the method of singular value decomposition (SVD), we can get the highest degree of observability as rotating the heading axis among the three axes. In addition, the simulation is carried out with the heading error specification, and the conclusion rotation with 180° along the heading axis is the optimal.

KW - Inertial frame

KW - Kalman filter

KW - Observability

KW - Strapdown inertial navigation system

KW - Two-position alignment

UR - https://www.scopus.com/pages/publications/84937434654

M3 - 文章

AN - SCOPUS:84937434654

SN - 1004-2474

VL - 37

SP - 386

EP - 388

JO - Yadian Yu Shengguang/Piezoelectrics and Acoustooptics

JF - Yadian Yu Shengguang/Piezoelectrics and Acoustooptics

IS - 3

ER -

Optimal two-position alignment for SINS under inertial frame

Abstract

Keywords

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