Eliminate Dynamic Error of A-PNAS High-Precision Time Synchronization Using Multi-Sensor Combination

Area of Science:

• Navigation Systems Engineering
• Aerospace Engineering
• Signal Processing

Background:

• High-precision time synchronization is critical for the accuracy of airborne-based pseudolite navigation augmentation positioning systems (A-PNAS).
• Airborne platforms experience random motion, introducing time-varying and Doppler effect errors into clock skew measurements.
• Existing systems require time synchronization accuracy (TSA) within 2 ns for meter-level positioning.

Purpose of the Study:

• To address the impact of dynamic errors on TSA in A-PNAS.
• To propose and validate a multi-sensor method for correcting these dynamic errors.

Main Methods:

• Analyzed the principles of dynamic error generation in airborne navigation systems.
• Developed a multi-sensor combination method utilizing available motion sensors.
• Calculated and corrected dynamic errors based on real-time motion measurements.

Main Results:

• The proposed method demonstrated a significant improvement in correcting dynamic errors, achieving close to 80% correction.
• Simulation tests confirmed the effectiveness of the multi-sensor approach.
• The method successfully mitigates the impact of dynamic errors on time synchronization accuracy.

Conclusions:

• The multi-sensor dynamic error correction method effectively meets the stringent TSA requirements of A-PNAS.
• This approach provides a valuable reference for high-precision time synchronization in similar collaborative space-based systems.
• The findings support enhanced positioning accuracy and reliability in airborne navigation.