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A high-precision and high-order error model for airborne distributed POS transfer alignment.

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  • 1China Academy of Electronics and Information Technology, Beijing, 100041, China.

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A new high-order error model improves distributed position and orientation systems (DPOSs) for airborne interferometric synthetic aperture radar (InSAR). This precise model enhances compensation accuracy by accounting for previously ignored error terms.

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Area of Science:

  • Geodesy and Remote Sensing
  • Aerospace Engineering
  • Signal Processing

Background:

  • Distributed Position and Orientation Systems (DPOSs) are crucial for airborne Earth observation systems, providing essential time-spatial data for Interferometric Synthetic Aperture Radar (InSAR).
  • Traditional low-order error models for DPOSs in InSAR applications are insufficient, failing to account for critical error terms that limit performance and compensation precision.

Purpose of the Study:

  • To develop a precise high-order error model for DPOSs to enhance InSAR compensation accuracy.
  • To address the limitations of traditional low-order models by incorporating previously neglected error sources.

Main Methods:

  • Derived a 45-dimensional high-order error model for DPOSs.
  • Incorporated scale factor and installation errors of gyros and accelerometers.
  • Modeled gyro drift and accelerometer bias using random constants and a first-order Markov process.
  • Included flexure angle and its angular rate in the transfer alignment model's state variables.
  • Developed a measurement equation for attitude errors considering flexure.
  • Designed a transfer alignment model using a position-velocity-attitude matching algorithm.

Main Results:

  • The proposed high-order error model significantly improves DPOS performance for InSAR.
  • Experimental validation using simulated and real data demonstrated superior performance compared to traditional models.
  • The enhanced model provides better compensation precision for InSAR systems.

Conclusions:

  • The developed precise high-order error model is effective in improving the accuracy of DPOSs for InSAR applications.
  • Accounting for flexure and advanced error descriptions (gyro drift, accelerometer bias) is vital for high-precision InSAR.
  • The new model offers a substantial advancement over traditional methods for airborne Earth observation.