Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration

Inertial sensor calibration plays a progressively important role in many areas of research among which navigation engineering. By performing this task accurately, it is possible to significantly increase general performance by correctly filtering out the deterministic and stochastic measurement errors that characterize such devices. While different techniques are available model remove errors, there has been considerable over past years with respect modelling have complex structures. In order do latter, replicates these error signals collected identified estimated based on one replicates. procedure allowed improve performance, not yet taken advantage information coming from all other same sensor. However, observed often change behaviour between can also be explained (constant) external conditions under each replicate was taken. Whatever reason for difference replicates, appears structure remains but parameter values vary. work we therefore consider study properties approaches allow combine considering phenomenon, confirming their validity both simulation settings when applied real inertial signals. taking into account variation highlights how average precision as well obtain reliable estimates uncertainty solution.