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Gravity gradient referenced navigation (GGRN) shows potential for accurate positioning, but current sensor limitations impact performance. Achieving high accuracy comparable to terrain referenced navigation requires improved gravity databases and sensors.

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Area of Science:

  • Aerospace Engineering
  • Geophysics
  • Navigation Systems

Background:

  • Gravity gradient referenced navigation (GGRN) offers a potential alternative for autonomous navigation.
  • Current GGRN performance is limited by database (DB) and sensor errors, flight altitude, and other factors.

Purpose of the Study:

  • To evaluate the impact of various factors on GGRN performance through simulation.
  • To establish requirements for GGRN to achieve target position determination accuracies.

Main Methods:

  • Conducting simulation tests for GGRN under varying conditions.
  • Analyzing the effects of DB errors, sensor errors, flight altitude, DB resolution, initial errors, and measurement update rates.

Main Results:

  • DB and sensor errors, along with flight altitude, significantly affect GGRN navigation performance.
  • High accuracy (0.1 E DB, 0.01 E sensor) is needed for GGRN to match or exceed terrain referenced navigation (TRN).
  • Current gradiometer accuracies (3 E–5 E) limit GGRN's advantage over TRN, with horizontal position errors often below 100 m.

Conclusions:

  • GGRN performance is highly sensitive to DB and sensor accuracy.
  • Future advancements in gravity gradiometers and DBs are crucial for realizing GGRN's full potential.
  • GGRN is expected to outperform TRN with technological improvements.