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A Review of Key Technologies in Gravity Matching Navigation.

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Τίτλος: A Review of Key Technologies in Gravity Matching Navigation.
Συγγραφείς: Zhao, Jinqi1 (AUTHOR), Zhou, Zhaofa1 (AUTHOR) zzftxy@163.com, Zhang, Zhili1 (AUTHOR)
Πηγή: Sensors (14248220). Jul2026, Vol. 26 Issue 13, p4208. 20p.
Θεματικοί όροι: *Gravimeters (Geophysical instruments), *Algorithms, *Maps, *Navigation, *Underwater navigation, *Inertial navigation systems, *Robotic path planning, *Multisensor data fusion
Περίληψη: The passive nature of gravity matching navigation, along with its concealment and freedom from error accumulation over time, is essential for reducing inertial navigation system (INS) errors and enabling high-precision autonomous underwater positioning. The current paper provides a systematic review of major technologies in the field, including the development of underwater gravimeters, construction of gravity reference maps, suitable area selection, optimization of matching algorithms, gravity–inertial integrated navigation, and path planning. We discuss hardware developments, including classical sensors, gradiometers, and quantum sensors, as well as methodological concepts such as multi-source sensor data fusion, intelligent area selection, algorithm optimizations, connections between multiple filters, and intelligent trajectory design. Despite a relatively well-developed technical infrastructure, several bottlenecks remain, including the low engineering maturity of high-end hardware, poor algorithmic performance under extreme conditions, over-reliance on simulation, and weak module integration. Future research should focus on hardware miniaturization, cross-domain intelligent adaptive algorithms, multi-condition real-world validation, and the transition from loosely coupled to tightly coupled architectures to achieve improved accuracy and robustness. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  Data: A Review of Key Technologies in Gravity Matching Navigation.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Jinqi%22">Zhao, Jinqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Zhaofa%22">Zhou, Zhaofa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zzftxy@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhili%22">Zhang, Zhili</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jul2026, Vol. 26 Issue 13, p4208. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Gravimeters+%28Geophysical+instruments%29%22">Gravimeters (Geophysical instruments)</searchLink><br />*<searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Maps%22">Maps</searchLink><br />*<searchLink fieldCode="DE" term="%22Navigation%22">Navigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Underwater+navigation%22">Underwater navigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Inertial+navigation+systems%22">Inertial navigation systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Robotic+path+planning%22">Robotic path planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The passive nature of gravity matching navigation, along with its concealment and freedom from error accumulation over time, is essential for reducing inertial navigation system (INS) errors and enabling high-precision autonomous underwater positioning. The current paper provides a systematic review of major technologies in the field, including the development of underwater gravimeters, construction of gravity reference maps, suitable area selection, optimization of matching algorithms, gravity–inertial integrated navigation, and path planning. We discuss hardware developments, including classical sensors, gradiometers, and quantum sensors, as well as methodological concepts such as multi-source sensor data fusion, intelligent area selection, algorithm optimizations, connections between multiple filters, and intelligent trajectory design. Despite a relatively well-developed technical infrastructure, several bottlenecks remain, including the low engineering maturity of high-end hardware, poor algorithmic performance under extreme conditions, over-reliance on simulation, and weak module integration. Future research should focus on hardware miniaturization, cross-domain intelligent adaptive algorithms, multi-condition real-world validation, and the transition from loosely coupled to tightly coupled architectures to achieve improved accuracy and robustness. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/s26134208
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 4208
    Subjects:
      – SubjectFull: Gravimeters (Geophysical instruments)
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Maps
        Type: general
      – SubjectFull: Navigation
        Type: general
      – SubjectFull: Underwater navigation
        Type: general
      – SubjectFull: Inertial navigation systems
        Type: general
      – SubjectFull: Robotic path planning
        Type: general
      – SubjectFull: Multisensor data fusion
        Type: general
    Titles:
      – TitleFull: A Review of Key Technologies in Gravity Matching Navigation.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhao, Jinqi
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          Name:
            NameFull: Zhou, Zhaofa
      – PersonEntity:
          Name:
            NameFull: Zhang, Zhili
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 14248220
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            – Type: volume
              Value: 26
            – Type: issue
              Value: 13
          Titles:
            – TitleFull: Sensors (14248220)
              Type: main
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