Positioning calculating method of global navigation satellite system (GNSS) receiver

Abstract

The invention discloses a positioning calculating method and belongs to the technical field of satellite navigation. According to the method, a least square method, a Newton iteration method and difference calculus are integrated, and an improved positioning calculating method of a global navigation satellite system (GNSS) receiver is provided. The positioning calculating method of the GNSS receiver includes the following steps: first, calculating pseudorange observation equation sets by using the least square method so as to obtain a general position, conducting iterative computations by using the general position as an initial value of the Newton iteration method to obtain an accurate position, and finally, calculating position differences so as to improve positional accuracy further. By means of the positioning calculating method of the GNSS receiver, positioning calculating speed is raised, and simultaneously, the positional accuracy is effectively improved.

Description

technical field [0001] The invention belongs to the field of satellite navigation, in particular to a positioning solution method for a GNSS (Global Navigation Satellite System, Global Navigation Satellite System) receiver, and more particularly to a positioning solution method for a GNSS software receiver. Background technique [0002] GNSS systems include GPS in the United States, GLONASS in Russia, GALILEO in Europe and Beidou in China. With the deepening of the softwareization of navigation and positioning receivers, GNSS software receiver technology is developing rapidly due to the advantages of strong scalability and high flexibility of software receivers. The software receiver retains the radio frequency front end of the traditional receiver, and only changes after the intermediate frequency A / D conversion. The traditional receiver sends the intermediate frequency digital signal from the RF front end to the baseband application-specific integrated circuit (ASIC), per...

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Problems solved by technology

It is simple to use the least squares method to calculate, but if the initial value of the coordinates of the observation station has a large deviation, then omitting the quadratic small amount of model error will have a non-negligible impact on the solution results; and because the least squares method Each iteration involves matrix multiplication and inversion operations, so the entire iteration process has to repeat this process many times, which will undoubtedly increase the amount of calculation and storage for positioning solutions, thereby affecting the accuracy of real-time positioning

[0005] The calculation of Kalman filter is complicated, and the accuracy is improved compared with the least square method, but it is sometimes difficult to obtain an accurate description of the system state in an actual system, especially in high dynamic software receivers, it is usually difficult to accurately determine the characteristics of dynamic noise and observation noise

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