A unified approach to post-mission processing of intertial data |
| |
Authors: | K P Schwarz |
| |
Institution: | (1) Division of Surveying Engineering, The University of Calgary, 2500 University Drive N.W., T2N 1N4 Calgary, Alberta, Canada |
| |
Abstract: | The outpout of inertial survey systems is available to the user in two basic forms: as Kalman filtered information at updates
or as integrated velocity and position information at regular time intervals. In case of the second data type, the post-mission
processing starts with the approximation of the velocity error curve. This approximation is either based on a system error
model as in Kalman filtering or uses curve fitting techniques. From there on, smoothing or adjustment procedures are used
as further steps in the post-mission treatment of both data types.
A unified treatment of the various post-mission approaches starts with the formulation of appropriate error models of the
system outputs. It is then possible to present all existing methods as intermediate steps of a rigorous adjustment procedure.
This unified approach gives insight into the limitations of individual methods and provides a means to detect inconsistencies
in post-mission processing strategies. An analysis of existing approaches is made and a new method, spectral decomposition,
is treated in detail. Compared to the existing procedures, it has advantages with respect to a rigorous covariance propagation
and blunder detection.
Paper presented at the 18th. General Assembly of the IAG, Symposium d: The Future of Terrestrial and Space Methods for Positioning, Hamburg, August 15–27,
1983. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|