Multimode receiver joint location solution method

Abstract

The present invention provides a multimode receiver joint location solution method. The method comprises the following steps of: the step (1): calculating positions, speeds and clock corrections of six moments of a satellite by an ephemeris; the step (2): calculating a coefficient matrix A; the step (3): performing interpolation calculation of the position, the speed and the clock correction of the satellite at a t moment; the step (4): performing least squares localization solution; and the step (5): performing Kalman filtering solution. The method employs the satellite ephemeris parameters to calculate a satellite space position coordinate boundary value, in a sliding time interval, a polynomial fitting interpolation algorithm is employed to perform satellite orbit estimation to reduce the operation complexity of the satellite space position, the mode of combination of the least squares and the Kalman filtering is employed to perform receiver location solution, the Kalman filtering employs a serial update method to avoid the large-dimensionality matrix inversion operation and reduce the operation complexity so as to provide the high-frequency location result and meet the high-dynamic scene application.

Description

technical field [0001] The invention relates to the field of Global Navigation Satellite System (GNSS), in particular to a method for joint positioning and calculation of multi-mode receivers. Background technique [0002] At present, the global satellite navigation system (GNSS) mainly includes China's BDS, the United States' GPS, Russia's GLONASS, and Europe's Galileo. GNSS plays an extremely important role in both military and civilian fields. In military applications, it can improve the target hit rate of missiles; in the civilian field, GNSS can locate and navigate objects at all levels of sea, land, and air, including Ocean-going navigation and water diversion for ships, autonomous navigation for cars, route guidance for aircraft, approach and landing, etc. In addition, the core technology of various ground vehicle tracking and urban intelligent traffic management is GNSS positioning; it can also provide timing and frequency calibration for network systems such as ele...

AI Technical Summary

Problems solved by technology

When the number of satellites is n, the inverse matrix dimension n x n is required. At present, the number of satellites that can be tracked by the four major systems at the same time is as many as 40, so the implementation on the embedded system will bring a very heavy calculation load, and the engineering implementation is very difficult.

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