An application of Kalman filtering and smoothing to torpedo tracking.
Approved for public release; distribution unlimited === A sequential Extended Kalman Filter and Smoothing routine was developed to provide real time estimates of torpedo position and depth on the three dimensional underwater tracking range at the Naval Torpedo Station, Keyport , Washington. Inp...
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Monterey, California. Naval Postgraduate School
2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-200702015-05-19T16:07:09Z An application of Kalman filtering and smoothing to torpedo tracking. Isik, Mustafa Titus, H.A. Gerba, Alex Naval Postgraduate School Naval Postgraduate School Electrical Engineering Approved for public release; distribution unlimited A sequential Extended Kalman Filter and Smoothing routine was developed to provide real time estimates of torpedo position and depth on the three dimensional underwater tracking range at the Naval Torpedo Station, Keyport , Washington. Inputs to the routine were acoustic pulse transit times from the target to receiving array elements which are non-linear functions of the position coordinates. These inputs were linearized and the filter gains and filtered estimates calculated on-line. By using a smoothing subroutine, ail past filtered estimates were smoothed. Tests were conducted using simulated torpedo trajectories that traversed multiple hydrophone arrays. It was found that filter performance was dependent on system noise and the distance the torpedo was from the hydrophone array and the smoothed estimates of states were better than or equal to the filtered estimates. 2012-11-20T00:06:45Z 2012-11-20T00:06:45Z 1982-10 Thesis http://hdl.handle.net/10945/20070 en_US Monterey, California. Naval Postgraduate School |
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en_US |
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description |
Approved for public release; distribution unlimited === A sequential Extended Kalman Filter and Smoothing
routine was developed to provide real time estimates of
torpedo position and depth on the three dimensional underwater
tracking range at the Naval Torpedo Station, Keyport
,
Washington. Inputs to the routine were acoustic pulse
transit times from the target to receiving array elements
which are non-linear functions of the position coordinates.
These inputs were linearized and the filter gains and
filtered estimates calculated on-line. By using a smoothing
subroutine, ail past filtered estimates were smoothed.
Tests were conducted using simulated torpedo trajectories
that traversed multiple hydrophone arrays. It was found
that filter performance was dependent on system noise and
the distance the torpedo was from the hydrophone array and
the smoothed estimates of states were better than or equal
to the filtered estimates. |
author2 |
Titus, H.A. |
author_facet |
Titus, H.A. Isik, Mustafa |
author |
Isik, Mustafa |
spellingShingle |
Isik, Mustafa An application of Kalman filtering and smoothing to torpedo tracking. |
author_sort |
Isik, Mustafa |
title |
An application of Kalman filtering and smoothing to torpedo tracking. |
title_short |
An application of Kalman filtering and smoothing to torpedo tracking. |
title_full |
An application of Kalman filtering and smoothing to torpedo tracking. |
title_fullStr |
An application of Kalman filtering and smoothing to torpedo tracking. |
title_full_unstemmed |
An application of Kalman filtering and smoothing to torpedo tracking. |
title_sort |
application of kalman filtering and smoothing to torpedo tracking. |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/20070 |
work_keys_str_mv |
AT isikmustafa anapplicationofkalmanfilteringandsmoothingtotorpedotracking AT isikmustafa applicationofkalmanfilteringandsmoothingtotorpedotracking |
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