An Improved ACKF/KF Initial Alignment Method for Odometer-Aided Strapdown Inertial Navigation System
نویسندگان
چکیده
منابع مشابه
An Improved Alignment Method for the Strapdown Inertial Navigation System (SINS)
In this paper, an innovative inertial navigation system (INS) mechanization and the associated Kalman filter (KF) are developed to implement a fine alignment for the strapdown INS (SINS) on stationary base. The improved mechanization is established in the pseudo-geographic frame, which is rebuilt based on the initial position. The new mechanization eliminates the effects of linear movement erro...
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In this paper, a new alignment algorithm that uses simultaneously both open-loop and closedloop scheme is designed to increase the convergence rate of the Kalman filter in the fine alignment stage. Generally, the initial alignment is divided into coarse and fine alignment. The fine alignment stage with the 10-state Kalman filter refines the initial estimate of the transformation matrix given by...
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In view of the fact the accuracy of the third-degree Cubature Kalman Filter (CKF) used for initial alignment under large misalignment angle conditions is insufficient, an improved fifth-degree CKF algorithm is proposed in this paper. In order to make full use of the innovation on filtering, the innovation covariance matrix is calculated recursively by an innovative sequence with an exponent fad...
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As a typical navigation system, the strapdown inertial navigation system (SINS) is crucial for autonomous underwater vehicles (AUVs) since the SINS accuracy determines the performance of AUVs. Initial alignment is one of the key technologies in SINS, and initial alignment time and initial alignment accuracy affect the performance of SINS directly. As actual systems are nonlinear, the nonlinear ...
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An improved coarse alignment (ICA) algorithm is proposed in this paper with a focus on improving alignment accuracy of odometer-aided strapdown inertial navigation system (SINS) under variable velocity and variable acceleration condition. In the proposed algorithm, the outputs of inertial sensors and odometer in a sampling interval are linearized rather than assumed to be a constant, which impr...
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ژورنال
عنوان ژورنال: Sensors
سال: 2018
ISSN: 1424-8220
DOI: 10.3390/s18113896