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Deeply Integrated GNSS/Gyro Attitude Determination System.

Alexander Perov1, Alexander Shatilov1

  • 1Navigation Systems Laboratory, Moscow Power Engineering Institute, Kranokazarmennaya street 14, Moscow 111250, Russia.

Sensors (Basel, Switzerland)
|April 17, 2020
PubMed
Summary
This summary is machine-generated.

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This study enhances Global Navigation Satellite Systems (GNSS) attitude determination for challenging environments. The new method improves sensitivity and reliability in low signal-to-noise ratio conditions, making GNSS attitude feasible for ground vehicles.

Area of Science:

  • Navigation Systems
  • Geomatics Engineering
  • Satellite Technology

Background:

  • Global Navigation Satellite Systems (GNSS) are crucial for attitude determination, typically using phase interferometry.
  • Carrier phase tracking in dynamic environments with low signal-to-noise ratio (SNR) poses significant challenges for GNSS attitude systems.
  • Existing research often prioritizes precision and computational efficiency over sensitivity and reliability in adverse conditions.

Purpose of the Study:

  • To improve the sensitivity and reliability of GNSS attitude determination systems.
  • To enable GNSS attitude determination in common, challenging environments like urban areas and forests.
  • To overcome limitations of current systems that fail in low SNR conditions.

Main Methods:

Keywords:
GNSSattitudeextended Kalman filtergyroscopeintegrationinterferometernavigationreceiversensitivitysignal-to-noise ratio

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  • Developed a system that tracks only phase differences instead of full carrier phases, reducing process dynamics.
  • Implemented deep integration with a gyroscope, using a vector gyro-aided loop closed on the user's attitude.
  • Utilized algorithm synthesis and simulation to validate the proposed approach.

    • Main Results:

    • Achieved a significant improvement in sensitivity, lowering the minimal working SNR from 27-36 dBHz to 20 dBHz.
    • Demonstrated reliable attitude determination even with a low-cost Micro-Electro-Mechanical System (MEMS) gyroscope.
    • Successfully addressed the challenge of providing GNSS attitude in low SNR dynamic environments.

    Conclusions:

    • The proposed GNSS attitude determination system enhances sensitivity and reliability in low SNR conditions.
    • Deep integration with gyroscopes and tracking phase differences are key to improving performance.
    • This research offers a viable solution for GNSS attitude determination in previously challenging environments.