DocumentCode
79794
Title
Initial Alignment by Attitude Estimation for Strapdown Inertial Navigation Systems
Author
Lubin Chang ; Jingshu Li ; Shengyong Chen
Author_Institution
Dept. of Navig. Eng., Naval Univ. of Eng., Wuhan, China
Volume
64
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
784
Lastpage
794
Abstract
This paper derives a novel initial alignment method for the strapdown inertial navigation system (SINS), which transforms the attitude alignment into an attitude estimation problem. The process model of the proposed initial alignment method by attitude estimation is established by decomposition of the attitude matrix. The measurement model is constructed based on a generalized velocity integration formula that can integrate the inertial measurements over certain fixed time intervals. The contributions of the work presented here are twofold. First, the attitude estimation-based structure enables the proposed method to estimate the gyroscope biases other than the attitude quaternion, which is celebrated for the low-cost SINS. The second is the application of the proposed generalized velocity integration formula to attenuate the accumulated errors in vector observations caused by the traditional velocity integration formula. Experimental road tests are performed with a low-cost SINS, which validate the efficacy of the proposed method.
Keywords
attitude measurement; inertial navigation; matrix decomposition; measurement errors; SINS; accumulated errors; attitude alignment; attitude estimation problem; attitude matrix decomposition; generalized velocity integration formula; gyroscope bias estimation; inertial measurement; initial alignment method; measurement model; process model; strapdown inertial navigation system; Estimation; Gyroscopes; Mathematical model; Matrix decomposition; Quaternions; Silicon compounds; Vectors; Attitude estimation; inertial navigation; initial alignment; velocity integration formula;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2014.2355652
Filename
6906253
Link To Document