A Multi-Scale Anti-Multipath Algorithm for GNSS-RTK Monitoring Application.

Area of Science:

• Geomatics Engineering
• Signal Processing

Background:

• Multipath error significantly degrades data quality in short baseline Real-Time Kinematic Global Navigation Satellite System (GNSS-RTK) measurements.
• Accurate positioning relies on mitigating these errors for reliable geospatial data.

Purpose of the Study:

• To propose and validate a novel method for reducing multipath error in GNSS-RTK measurements.
• To enhance the accuracy and reliability of GNSS-RTK positioning data.

Main Methods:

• Utilized Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) for signal decomposition into intrinsic mode functions (IMFs).
• Developed an information entropy-based method to identify IMFs containing multipath error.
• Applied Adaptive Wavelet Packet Threshold Denoising (AWPTD) to selected IMFs for error reduction.

Main Results:

• The proposed ICEEMDAN-AWPTD algorithm demonstrated superior multipath error correction compared to existing methods.
• Post-correction, coordinate accuracy (East, North, Up) improved by 49.2%, 65.1%, and 56.6%, respectively.
• The method effectively preserves original signal characteristics while reducing noise.

Conclusions:

• The ICEEMDAN-AWPTD method offers a robust solution for multipath error mitigation in GNSS-RTK.
• This technique significantly enhances the precision of real-time kinematic positioning.
• The findings support the adoption of this advanced denoising approach in geodetic applications.