GNSS double-frequency carrier phase integer ambiguity resolving method

Abstract

The invention provides a GNSS double-frequency carrier phase integer ambiguity resolving method, and belongs to the technical field of satellite high-precision positioning. The method comprises the following steps that: after preprocessing a double-frequency carrier phase observation value. screening out an optimal carrier observed quantity to establish a double-difference geometric-free ionosphere-free observed quantity and a wide-lane carrier combined observed quantity; on the premise of estimating the wide lane ambiguity floating point solution precision and the single epoch wide lane ambiguity passing rate, searching fixed wide lane whole cycle ambiguity by using an LAMBDA method, estimating an ambiguity floating point solution of ionosphere-free combined observed quantity by using a Kalman filter, searching and fixing narrow lane whole cycle ambiguity by using the LAMBDA method, and finally performing back substitution solution on a positioning equation set to realize high-precision positioning and attitude solution of a satellite. According to the method, while the precision of the wide-lane ambiguity floating point solution is considered, the problem of low wide-lane ambiguity fixation rate is solved by utilizing an LAMBDA search algorithm, and meanwhile, the narrow-lane ambiguity floating point solution is well estimated, so that the overall fixation rate of a baselineis improved.

Description

technical field [0001] The invention belongs to the technical field of satellite high-precision positioning, and in particular relates to a method for solving the ambiguity of a GNSS dual-frequency carrier phase integer cycle. Background technique [0002] At present, the four major global navigation satellite systems (Global Navigation Satellite System, GNSS) include the GPS of the United States, the GLONASS of Russia, the BDS of China and the Galileo system of the European Union. The real-time relative positioning of the global satellite navigation system, referred to as RTK (Real Time Kinematic), eliminates or weakens public errors such as satellite orbit errors, atmospheric propagation delay errors, and satellite and receiver clock errors by making differences between receivers and satellites. High-precision carrier phase observations enable centimeter-level or even millimeter-level positioning. It has the characteristics of high precision, high reliability and 24-hour ...

AI Technical Summary

Problems solved by technology

However, the LAMBDA algorithm has certain requirements on the accuracy of the ambiguity floating-point solution. If the precision of the ambiguity floating-point solution to be obtained is poor, the searched integer solution will generally have a deviation of one week or more.

When the traditional method solves the medium and long baselines, it directly uses the method of rounding up the floating-point solution to solve the integer ambiguity of the wide lane and the integer ambiguity of the narrow lane. This method requires multi-epoch smooth calculation, and the calculation is reliable. The performance is poor, so the initialization time is long and the fixed success rate is limited

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