High Precision Deep Sea Geomagnetic Data Sampling and Recovery with Three-Dimensional Compressive Sensing

Chao ZHANG; Yufei ZHAO

doi:10.1587/transfun.E100.A.1760

High Precision Deep Sea Geomagnetic Data Sampling and Recovery with Three-Dimensional Compressive Sensing

Chao ZHANG, Yufei ZHAO

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Autonomous Underwater Vehicle (AUV) can be utilized to directly measure the geomagnetic map in deep sea. The traditional map interpolation algorithms based on sampling continuation above the sea level yield low resolution and accuracy, which restricts the applications such as the deep sea geomagnetic positioning, navigation, searching and surveillance, etc. In this letter, we propose a Three-Dimensional (3D) Compressive Sensing (CS) algorithm in terms of the real trajectory of AUV which can be optimized with the required accuracy. The geomagnetic map recovered with the CS algorithm shows high precision compared with traditional interpolation schemes, by which the magnetic positioning accuracy can be greatly improved.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.9 pp.1760-1762

Publication Date: 2017/09/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.1760

Type of Manuscript: Special Section LETTER (Special Section on Signal Processing on Irregular Sampling Grids)

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Authors

Chao ZHANG
Tsinghua University
Yufei ZHAO
Tsinghua University

Keyword

compressive sensing, geomagnetic measurement, data recovery, geomagnetic map, AUV

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Chao ZHANG, Yufei ZHAO, "High Precision Deep Sea Geomagnetic Data Sampling and Recovery with Three-Dimensional Compressive Sensing" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 9, pp. 1760-1762, September 2017, doi: 10.1587/transfun.E100.A.1760.
Abstract: Autonomous Underwater Vehicle (AUV) can be utilized to directly measure the geomagnetic map in deep sea. The traditional map interpolation algorithms based on sampling continuation above the sea level yield low resolution and accuracy, which restricts the applications such as the deep sea geomagnetic positioning, navigation, searching and surveillance, etc. In this letter, we propose a Three-Dimensional (3D) Compressive Sensing (CS) algorithm in terms of the real trajectory of AUV which can be optimized with the required accuracy. The geomagnetic map recovered with the CS algorithm shows high precision compared with traditional interpolation schemes, by which the magnetic positioning accuracy can be greatly improved.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1760/_p

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@ARTICLE{e100-a_9_1760,
author={Chao ZHANG, Yufei ZHAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={High Precision Deep Sea Geomagnetic Data Sampling and Recovery with Three-Dimensional Compressive Sensing},
year={2017},
volume={E100-A},
number={9},
pages={1760-1762},
abstract={Autonomous Underwater Vehicle (AUV) can be utilized to directly measure the geomagnetic map in deep sea. The traditional map interpolation algorithms based on sampling continuation above the sea level yield low resolution and accuracy, which restricts the applications such as the deep sea geomagnetic positioning, navigation, searching and surveillance, etc. In this letter, we propose a Three-Dimensional (3D) Compressive Sensing (CS) algorithm in terms of the real trajectory of AUV which can be optimized with the required accuracy. The geomagnetic map recovered with the CS algorithm shows high precision compared with traditional interpolation schemes, by which the magnetic positioning accuracy can be greatly improved.},
keywords={},
doi={10.1587/transfun.E100.A.1760},
ISSN={1745-1337},
month={September},}

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TY - JOUR
TI - High Precision Deep Sea Geomagnetic Data Sampling and Recovery with Three-Dimensional Compressive Sensing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1760
EP - 1762
AU - Chao ZHANG
AU - Yufei ZHAO
PY - 2017
DO - 10.1587/transfun.E100.A.1760
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2017
AB - Autonomous Underwater Vehicle (AUV) can be utilized to directly measure the geomagnetic map in deep sea. The traditional map interpolation algorithms based on sampling continuation above the sea level yield low resolution and accuracy, which restricts the applications such as the deep sea geomagnetic positioning, navigation, searching and surveillance, etc. In this letter, we propose a Three-Dimensional (3D) Compressive Sensing (CS) algorithm in terms of the real trajectory of AUV which can be optimized with the required accuracy. The geomagnetic map recovered with the CS algorithm shows high precision compared with traditional interpolation schemes, by which the magnetic positioning accuracy can be greatly improved.
ER -