GNSS navigation signal mass data rapid processing method based on cluster parallel computation

Abstract

The invention provides a GNSS navigation signal mass data rapid processing method based on cluster parallel computation. The method comprises the following steps: collecting all data of various types about GNSS navigation data processing; selecting the data which can be analyzed comprehensively and has not mutual dependent relation; using a plurality of computers as the node construction cluster environment; in allusion to the selected data, performing task decomposition, data decomposition or data stream decomposition; and finally constructing a parallelly executed algorithm. The method is capable of seamlessly integrating the multi-data source feature of a GNSS navigation signal processing algorithm and the multi-task of the clusters, constructing a parallelly executed framework based on the cluster environment in allusion to the problem of the GNSS navigation signal processing that there are many data categories and huge data size, greatly improving the operation efficiency and instantaneity, and improving the operation reliability.

Description

technical field [0001] The invention relates to a signal parallel processing method. Background technique [0002] Satellite navigation ranges from basic research fields (astronomy, mechanics, physics, geodynamics, etc.) Many important departments and fields (maritime, transportation, rescue, precision agriculture, earthquake monitoring, electronic communication, etc.) and other aspects occupy an important position and play an important role. It can be said that satellite navigation technology is a concentrated expression of various basic theories, latest scientific and technological achievements, national scientific and technological level and comprehensive strength. [0003] Satellite navigation signal is the most important part of the satellite navigation system, and it is the link of coordination between satellites, ground operation and control and users. The quality of the satellite navigation signal will be directly related to the realization of basic functions, key ...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the shortcomings of slow speed and poor real-time performance in the data processing process of the existing technology, the present invention provides a parallel algorithm for GNSS massive data processing based on a cluster environment, by constructing a cluster parallel computing environment and a parallel algorithm based on dynamic allocation The algorithm can improve the efficiency of data processing and calculation, provide valuable reference for the real-time monitoring and evaluation of satellite navigation service performance in my country and rapid fault prediction and early warning, and further contribute to ensuring the high reliability service performance and safety of my country's satellite navigation system

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