Yan Xia

TL;DR: Experimental results show that with the inter-system differencing model, the accuracy and reliability of RTK positioning can be effectively improved, especially for the obstructed environments with a small number of satellites available.

TL;DR: In this paper, the influence of the carrier-phase multipath in three typical triple-frequency combinations: extra wide-lane (EWL) combination, ionosphere estimation with ambiguity-corrected EWL/widelane (WL) combinations and the geometry-free and ionosphere-free (GIF) combination for narrowlane (NL) AR was analyzed.

TL;DR: The performance of LEO/GNSS combined PPP in harsh environments is evaluated initially and triple-frequency uncombined PPP model is developed, which is expected to improve the positioning performance of GNSS-only PPP under complex conditions.

TL;DR: This paper analyzes in detail the influence of multi-constellation satellite signals on scenario recognition performance based on a Hidden Markov Model (HMM) algorithm and proposes a new scenario recognition method based on Recurrent Neural Network (RNN).

TL;DR: This paper attempts to construct an alternative framework for quality identification of GNSS observations combining clustering-based anomaly detection and supervised classification, in which the hierarchical density-based spatial clustering of applications with noise (HDBSCAN) algorithm is used to label the offline dataset as normal and anomalous observations without the aid of 3D building models.