Estimation of sonobuoy position relative to an aircraft using extended kalman filters.
Loading...
Authors
Brownsberger, Nicholas Mason
Subjects
SRS (Sonobuoy Reference System)
Kalman Filter
Sonobuoy
Kalman Filter
Sonobuoy
Advisors
Collins, D.J.
Date of Issue
1979-09
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
In airborne anti-submarine warfare there is a need to
more accurately determine the positions of sonobuoys on the
surface of the vater. This report develops two algorithms
which employ extended Kalman filters to determine estimated
position. The bearing from the aircraft to the sonobuoy is
the primary measurement. Range information is not available.
The first algorithm is a six-state filter which was reduced
from the 13-state system developed by the Orincon Corporation
Its states include relative jjosition, relative velocity, and
inertial misalignments. The second algorithm includes two
cascaded Kalman filters. The primary two-state filter
estimates sonobuoy position. A secondary filter estimates
drift from information obtained from the primary filter.
Both algorithms successfully estimated sonobuoy position for
simulated aircraft data. The effect of a ircraf t-to-sono bucy
range, the frequency of measurement, and changes in altitude
are also analyzed.
Type
Thesis
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.