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An SVD-Based Observation Matrix Reconstruction and Dynamic Weighting Algorithm for Enhanced Multi-GNSS Differential Positioning Accuracy

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The SVD-based algorithm enhances GNSS positioning accuracy by at least 26.81%, especially for single-frequency observations.
Using experimental datasets from BDS, GPS, and GLONASS, accuracy improvements exceed 20.66% for multi-frequency data.
The method dynamically optimizes weights among GNSS systems, addressing dimensional mismatches in observation matrices.
High-precision fusion in kinematic scenarios indicates significant benefits for navigation in complex environments.

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Proposed method improves positioning accuracy by over 26% in multi-GNSS systems, suggesting superior data fusion strategies.

Shi et al. (2025) studied this question.

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