2019
DOI: 10.1088/1361-6668/aaf245
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Underwater operation of a full tensor SQUID gradiometer system

Abstract: For the first time a mobile underwater full tensor magnetic gradiometer (FTMG) system based on low-Tc superconducting quantum interference devices (SQUIDs) has been deployed in order to scan the sea floor for magnetized targets. The application is mainly focused on waste deposits and unexploded ordnance (UXO), but could also include shallow geological features as well as archaeological remains. The main methods for detection and localisation of underwater UXO and waste deposits are side sonar scanning and magn… Show more

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Cited by 18 publications
(9 citation statements)
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“…operating on moving platforms. For example, an underwater SQUID based tensor gradiometer was recently deployed for scanning sea floor [228].…”
Section: H Moving Platformsmentioning
confidence: 99%
“…operating on moving platforms. For example, an underwater SQUID based tensor gradiometer was recently deployed for scanning sea floor [228].…”
Section: H Moving Platformsmentioning
confidence: 99%
“…In 2004, Vasquez et al [4] also successfully developed the High Tc SQUID low-frequency receiver for underground communication, and realized the transmission of speech signals between 100 m rock strata. In recent years, A Chwala et al [5] in Germany used a full tensor gradiometer to realize the positioning experiment of the submarine dipole, and the error was less than 10 m. However, the system must work with liquid helium environment, resulting in a large volume. Compared with the Low Tc SQUID, the High Tc SQUID has more advantages, but due to the high process requirements and the instability of the device, its application in the ocean develops slowly.…”
Section: Introductionmentioning
confidence: 99%
“…Different from the iterative algorithm, the magnetic gradient tensor localization algorithm, which can directly calculate the target position, has been effectively used to locate targets in magnetic detection [28][29][30][31][32][33]. The localization accuracy with the magnetic gradient tensor is mainly affected by signal-to-noise ratio (SNR) and calculated error of the magnetic gradient tensor.…”
Section: Introductionmentioning
confidence: 99%