PC-DeepNet trains a sum-pooling permutation-invariant network on seven GNSS features to predict position corrections, reporting improved urban and suburban accuracy with fewer parameters than prior learning-based methods.
GNSS NLOS signal classification based on machine learning and pseudorange residual check,
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PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
PC-DeepNet trains a sum-pooling permutation-invariant network on seven GNSS features to predict position corrections, reporting improved urban and suburban accuracy with fewer parameters than prior learning-based methods.