On the Error State Selection for Stationary SINS Alignment and Calibration Kalman Filters—Part II: Observability/Estimability Analysis

On the Error State Selection for Stationary SINS Alignment and Calibration Kalman Filters—Part II: Observability/Estimability Analysis

This paper presents the second part of a study aiming at the error state selection in Kalman filters applied to the stationary self-alignment and calibration (SSAC) problem of strapdown inertial navigation systems (SINS). The observability properties of the system are systematically investigated, an...

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Bibliographic Details
Main Authors: Felipe O. Silva, Elder M. Hemerly, Waldemar C. Leite Filho
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Sensors
Subjects:
SINS
alignment
calibration
error state selection
observability
estimability
Online Access:http://www.mdpi.com/1424-8220/17/3/439

Internet

http://www.mdpi.com/1424-8220/17/3/439

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