期刊论文A few-shot learning-based semi-supervised method to enhance NLOS recognition accuracy across multiple locations by cross-spatiotemporal information复制

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K Zeng, Z Li, S Xie, Q Wang, W Chen…
IEEE Transactions on …, 2024
ieeexplore.ieee.org
Machine learning (ML)-based Global Navigation Satellite System (GNSS) signal recognition has been considered an efficient way to mitigate multipath error in positioning estimation. However, because of the spatial heterogeneity of nonline-of-sight (NLOS) interference, existing NLOS signal recognition methods struggle to achieve satisfactory accuracy across multiple locations. In particular, current methods achieve limited recognition accuracy on target domains containing unfamiliar environments. This study proposes a few-shot learning …