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Improvement of velocity estimate resolution for a correlation velocity log using surface fitting methods

Improvement of velocity estimate resolution for a correlation velocity log using surface fitting methods
Improvement of velocity estimate resolution for a correlation velocity log using surface fitting methods
A Correlation Velocity Log (CVL) is an acoustical navigation aid, consisting of a transmitter and a receiver array. Moving patterns in the wave fronts across the receiver army, indicative of motion, are detected by calculating correlation coefficient between bottom reflections from consecutive transmitted pulses. A velocity vector map is constructed by plotting the correlation coefficient on a grid representing the, velocity vector spacing. The peak position on this map surface provides an estimate of the velocity vector of the vessel.
The resolution of the velocity vector map is limited by the minimum diameter of the receiving elements and the maximum size of the array. Current research is focused on exploiting the full potential of the CVL by investigating surface fitting techniques to' interpolate peak position estimates between measurement points.
Detailed simulations and sea trials of a prototype CVL have demonstrated that the correlation coefficient surface is subject to high variance at only a modest distance from the peak. This paper presents numerical comparisons between different surface-fitting methods for performing peak finding on the data. Different least squares schemes are investigated, together with a non-liner iterative implementation of Maximum Likelihood Estimation. The performance of these methods is compared both in terms of rms error and mean, error in peak estimation.
It is shown that CVL performance can he improved significantly by the use of an appropriate peak finding technique.
0780375343
1840-1848
IEEE. Institute of Electrical and Electronics Engineers
Boltryk, P.
f6c648f1-9d60-41f3-9e48-472503b1ffc4
Hill, M.
0cda65c8-a70f-476f-b126-d2c4460a253e
Keary, A.
fc180476-695b-47ed-b5e4-279df1c73b3d
Philips, B.
5bdd7c27-9ede-4541-8ba2-7f4008dcbae3
Robinson, H.
3b04582b-2ca0-42a7-beb9-81fc2459ffaf
White, P.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Boltryk, P.
f6c648f1-9d60-41f3-9e48-472503b1ffc4
Hill, M.
0cda65c8-a70f-476f-b126-d2c4460a253e
Keary, A.
fc180476-695b-47ed-b5e4-279df1c73b3d
Philips, B.
5bdd7c27-9ede-4541-8ba2-7f4008dcbae3
Robinson, H.
3b04582b-2ca0-42a7-beb9-81fc2459ffaf
White, P.
2dd2477b-5aa9-42e2-9d19-0806d994eaba

Boltryk, P., Hill, M., Keary, A., Philips, B., Robinson, H. and White, P. (2002) Improvement of velocity estimate resolution for a correlation velocity log using surface fitting methods. In Proceedings of Oceans '02 MTS/IEEE. vol. 3, IEEE. Institute of Electrical and Electronics Engineers. pp. 1840-1848 .

Record type: Conference or Workshop Item (Paper)

Abstract

A Correlation Velocity Log (CVL) is an acoustical navigation aid, consisting of a transmitter and a receiver array. Moving patterns in the wave fronts across the receiver army, indicative of motion, are detected by calculating correlation coefficient between bottom reflections from consecutive transmitted pulses. A velocity vector map is constructed by plotting the correlation coefficient on a grid representing the, velocity vector spacing. The peak position on this map surface provides an estimate of the velocity vector of the vessel.
The resolution of the velocity vector map is limited by the minimum diameter of the receiving elements and the maximum size of the array. Current research is focused on exploiting the full potential of the CVL by investigating surface fitting techniques to' interpolate peak position estimates between measurement points.
Detailed simulations and sea trials of a prototype CVL have demonstrated that the correlation coefficient surface is subject to high variance at only a modest distance from the peak. This paper presents numerical comparisons between different surface-fitting methods for performing peak finding on the data. Different least squares schemes are investigated, together with a non-liner iterative implementation of Maximum Likelihood Estimation. The performance of these methods is compared both in terms of rms error and mean, error in peak estimation.
It is shown that CVL performance can he improved significantly by the use of an appropriate peak finding technique.

Full text not available from this repository.

More information

Published date: 2002
Venue - Dates: Oceans '02 MTS/IEEE, Biloxi, USA, 2002-10-29 - 2002-10-31

Identifiers

Local EPrints ID: 22397
URI: http://eprints.soton.ac.uk/id/eprint/22397
ISBN: 0780375343
PURE UUID: 8f475224-95cb-4c2b-8ac1-57b47bfa48d5
ORCID for M. Hill: ORCID iD orcid.org/0000-0001-6448-9448
ORCID for P. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 26 Apr 2006
Last modified: 18 Feb 2021 16:39

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