Phase Prediction Method and System for Improving GNSS Receiver Carrier Phase Continuity

Abstract

The invention discloses a phase prediction method and system for improving the continuity of the carrier phase of a GNSS receiver. The method includes: S100 constructing a carrier phase prediction model according to the relationship between the carrier phase of the GNSS receiver and Doppler; S300 solves the Doppler prediction value of the open-loop tracking channel; S400 uses the carrier phase prediction model to calculate the open-loop tracking The Doppler prediction value of the channel is integrated to obtain the carrier phase estimation value of the open-loop tracking channel. The invention can solve the discontinuous problem of the carrier phase of the GNSS receiver in the case of short-term occlusion of some satellites, so as to achieve the purpose of improving the continuity of the carrier phase of the GNSS receiver and improving the positioning accuracy.

Description

technical field [0001] The invention belongs to the technical field of GNSS receivers, in particular to a phase prediction method and system for improving the carrier phase continuity of a GNSS receiver. Background technique [0002] Global Navigation Satellite System (GNSS) generally refers to a global satellite system and its augmentation system that can continuously provide users with position, velocity, and time (Position Velocity and Time, PVT) information around the clock. Since its inception, GNSS has fully demonstrated its dominance in the field of navigation and positioning, and revolutionary changes have taken place in many fields of military and civilian use due to the emergence of GNSS. The GNSS receiver obtains the observation information of each satellite by receiving satellite signals, and then uses the positioning and navigation algorithm to obtain the time and space information of the user receiver. With the continuous expansion of the scope of GNSS applica...

AI Technical Summary

Problems solved by technology

At the level of observation values, such as the combination method of phase reduction pseudorange and ionospheric residual and the cycle slip detection and repair method based on Bayesian probability statistics are proposed. Accurate detection and repair, but cannot accurately detect data with large sampling intervals, and cannot be used in single-frequency systems

In addition, some scholars have proposed a cycle slip detection method based on wavelet transform, and established a method based on the combined prediction model of empirical mode decomposition and radial neural network to repair the cycle slip. Accurate detection and repair of cycle slips, but powerless for smaller cycle slips

At the level of baseband signal processing, scholars at the University of Calgary proposed a method of using carrier phase prediction to ensure carrier phase continuity when the satellite signal is temporarily out of lock. The open-loop tracking of the carrier phase makes the carrier phase error not affect the fixation of the integer ambiguity. However, the existing phase prediction method is mainly based on the dynamics of the satellite and the receiver to predict the Doppler, and does not fully consider the receiver Effect of Crystal Oscillator Drift on Doppler

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