Phase prediction method and system for improving GNSS receiver carrier wave phase continuity

Abstract

The invention discloses a phase prediction method and system for improving GNSS receiver carrier wave phase continuity. The method comprises the following steps of S100, according to the relation between the carrier wave phase of a GNSS receiver and Doppler, constructing a carrier wave phase prediction model; S200, according to the positions and speed information of a satellite and the GNSS receiver, resolving the motion Doppler value of the satellite of a normal tracking channel relative to the GNSS receiver; S300, resolving the Doppler prediction value of an open loop tracking channel; and S400, using the carrier wave phase prediction model to carry out integral on the Doppler prediction value of the open loop tracking channel, and acquiring the carrier wave phase estimation value of theopen loop tracking channel. In the invention, the carrier wave phase discontinuity problem of the GNSS receiver under the condition of partial satellite short-time shielding can be solved so that purposes of improving the carrier wave phase continuity of the GNSS receiver and increasing positioning precision are reached.

Description

Technical field [0001] The invention belongs to the technical field of GNSS receivers, and in particular relates to a phase prediction method and system for improving the carrier phase continuity of the GNSS receiver. Background technique [0002] Global Navigation Satellite System (GNSS) generally refers to a satellite system and its augmentation system that can continuously provide users with position, velocity and time (Position Velocity and Time, PVT) information around the world. Since its inception, GNSS has fully demonstrated its dominance in the field of navigation and positioning. 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 and measurement information of each satellite by receiving satellite signals, and then uses positioning and navigation algorithms to obtain the time and space information of the user receiver. As the scope of GNSS applications continues to e...

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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