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A new 30-position calibration scheme enhances rotational inertial navigation accuracy. This method improves observability and reduces sensor errors, leading to higher navigation positioning accuracy validated by simulations and experiments.

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Area of Science:

  • * Engineering
  • * Navigation Systems

Background:

  • * Improving the accuracy of rotational inertial navigation systems is crucial for precise positioning.
  • * System-level calibration technology is a primary method for enhancing inertial navigation accuracy.
  • * The design of effective calibration schemes is fundamental to this technology.

Purpose of the Study:

  • * To design and validate a novel 30-position calibration scheme for rotational inertial navigation systems.
  • * To identify and compensate for various sensor errors including constant, scale factor, and installation errors.
  • * To demonstrate the superiority of the proposed scheme over traditional methods.

Main Methods:

  • * Establishment of an error model for the inertial navigation system.
  • * Design of a 30-position calibration scheme.
  • * Application of a 30-dimensional Kalman filter for error identification.
  • * Simulation and measured experiments for validation.

Main Results:

  • * The 30-position scheme exhibits higher observability compared to traditional schemes.
  • * Smaller residual errors in estimated sensor parameters were achieved.
  • * Enhanced navigation positioning accuracy was observed after error parameter compensation.
  • * Experimental results showed good convergence of error parameters, confirming practical value.

Conclusions:

  • * The 30-position calibration scheme is a feasible and effective method for improving inertial navigation accuracy.
  • * The scheme successfully identifies and compensates for critical gyroscope and accelerometer errors.
  • * The proposed method offers significant advantages in terms of observability and positioning precision.