Satellite navigation positioning method based on maximum relevant signal energy

Abstract

Provided is a satellite navigation positioning method based on maximum relevant signal energy. The method comprises the steps of: establishing a grid searching space in a navigation domain based on an approximate position of a user; for each grid, calculating a code phase and a Doppler frequency of each satellite corresponding to the grid based on prior information; for each grid, calculating a code phase and a Doppler frequency of each satellite corresponding to the grid, constructing a local signal, and calculating relevant energy of the local signal and a practical receiving signal; performing incoherent accumulation on the relevant energy of all satellites to obtain united relevant energy of the grid; calculating all grids in a traversal manner, calculating the united relevant energy of each grid successively, comparing the united relevant energy of all navigation domain grids, and finding out the grid point where a peak value is located; and finally, converting all grid point coordinates to actual three-dimensional positions of the user. According to the invention, the relevant signal energy of all satellites can be directly projected to the navigation domain, and the satellite navigation positioning method can be used for rapid estimation of a navigation solution when a receiver moves to a weak signal environment.

Description

technical field [0001] The invention belongs to the technical field of satellite navigation and positioning, in particular to a satellite navigation and positioning method based on maximum correlation signal energy. Background technique [0002] Since the Global Navigation Satellite System (GNSS) has global, all-weather and continuous precise three-dimensional positioning capabilities, satellite navigation systems represented by GPS and Beidou have been widely used in various fields in the past ten years. At present, the main signal processing processes adopted by GNSS receivers are acquisition, tracking, bit synchronization, frame synchronization, navigation message decoding, satellite position calculation, pseudo-range calculation and user position calculation. However, if the satellite navigation signal is relatively weak, it will cause the GNSS receiver to fail to capture and track successfully, then the navigation message of the satellite will not be successfully obtain...

AI Technical Summary

Problems solved by technology

However, if the satellite navigation signal is relatively weak, it will cause the GNSS receiver to fail to capture and track successfully, then the navigation message of the satellite will not be successfully obtained, and then the calculation of the satellite position and the user position will not be possible.

Usually, if the GNSS receiver moves to an occluded environment such as jungle, indoors, or under a bridge, the satellite navigation signal will be attenuated sharply. Once it is lower than the tracking sensitivity, it will lose lock and cannot complete the positioning. It can only be recaptured

Due to the low probability of successful reacquisition in a weak signal environment, it greatly affects the continuity and availability of navigation and limits the application range of GNSS receivers

[0003] The essence of the traditional receiver's inability to realize the above-mentioned high-performance navigation applications is that the design of its tracking loop is a scalar tracking strategy. Although the traditional receiver has the advantages of simple structure and easy identification of faults, the independent tracking architecture of each satellite signal makes The signal processing of different satellites is completely separated, and the correlation between multi-channel signals based on receiver position and velocity is completely ignored, so full utilization of information is not realized

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