Satellite dynamic grouping and selecting method based on self adaption

Abstract

The invention relates to a satellite dynamic grouping and selecting method based on self adaption. The method comprises the steps of: (1) setting a satellite selecting initial threshold value; (2) comparing a PDOP (Position Dilution Of Precision) value calculated by new measurement data of last satellite selecting combination with the threshold value, if the PDOP value is more than the threshold value, going to step (3), and otherwise, directly outputting; (3) dynamically grouping current all satellites engaging in positioning; (4) performing time-sharing computing on the PDOP value of each combination, and finding out minimal PDOP value and satellite combination; and (5) according to the minimal PDOP value and satellite receiving situation, dynamically selecting the PDOP threshold value by using a self-adaptive method. According to the satellite selecting method provided by the invention, dynamic grouping adjustment and time-sharing computing strategies are adopted and the threshold value is adaptively adjusted according to the working environment, and more complicated satellite selection environment can be adopted under current hardware resource conditions, so that the application range of the method is enlarged, and the satellite selecting treatment time is shortened on a condition that the precision requirement is guaranteed.

Description

technical field [0001] The invention relates to a satellite selection method used in guidance or navigation. Background technique [0002] The positioning satellite combination selection method in the guidance or navigation environment requires a high response frequency, generally reaching the millisecond level. In the traditional guidance or navigation environment, the positioning satellite combination selection usually does not pre-group the measurement data of all the satellites involved in the positioning, and all calculations are completed within a time period, resulting in the time-consuming method of the entire satellite selection and the impact on hardware resources. The requirements are relatively high, it is difficult to meet the time performance requirements, and it is easy to fail the method in a changeable environment. In addition, existing positioning satellite selection methods are often developed for specific users or specific working environments. When the...

AI Technical Summary

Problems solved by technology

In the traditional guidance or navigation environment, the positioning satellite combination selection usually does not pre-group the measurement data of all the satellites involved in the positioning, and all calculations are completed within a time period, resulting in the time-consuming method of the entire satellite selection and the impact on hardware resources. The requirements are relatively high, it is difficult to meet the time performance requirements, and the method is prone to failure in a changeable environment

In addition, existing positioning satellite selection methods are often developed for specific users or specific working environments

When the user's operating status changes greatly, or enters a complex and changeable environment, the existing methods are often greatly affected or fail

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