Ionosphere anomaly monitoring and early warning method based on monitoring station network

Abstract

The invention discloses an ionosphere anomaly monitoring and early warning method based on a monitoring station network, and belongs to the technical field of satellite navigation. The method comprises the following steps that sub-networks are divided; ionosphere space gradient monitoring and single-station ionosphere delay time gradient monitoring based on observed quantity difference are executed; the state of an ionosphere puncture point is determined; the state of the puncture point is further determined for the sub-network center station with the undetermined state; the comprehensive information processing equipment estimates a predicted influence range of regional wide-area anomaly and a real-time influence range of local disturbance; and the comprehensive information processing equipment provides alarm information for the user whose puncture point is in the real-time influence range, and provides early warning information for the user whose puncture point is in the predicted influence range. According to the method, the anomaly influence range and the predicted influence range can be estimated, and the method has the characteristics of high real-time performance and high monitoring capability.

Description

technical field [0001] The invention relates to an ionospheric anomaly monitoring and early warning method based on a monitoring station network, and belongs to the technical field of satellite navigation integrity and ionospheric monitoring. Background technique [0002] Ionospheric delay is one of the main error sources in the field of satellite navigation, and ionospheric anomalies such as ionospheric storms and ionospheric scintillation are the main integrity risks affecting GNSS applications. For ionospheric anomalies, GBAS (Ground-Based Augmentation Systems, Ground-Based Augmentation System) conducts real-time monitoring based on local monitoring stations through code-carrier consistency monitoring algorithm CCD, ionospheric spatial gradient monitoring algorithm IGM and other algorithms. However, this method The monitoring range is limited, and the monitoring results are easily affected by other errors, and the monitoring results are not accurate. SBAS (Satellite-Base...

AI Technical Summary

Problems solved by technology

For ionospheric anomalies, GBAS (Ground-Based Augmentation Systems, Ground-Based Augmentation System) conducts real-time monitoring based on local monitoring stations through code-carrier consistency monitoring algorithm CCD, ionospheric spatial gradient monitoring algorithm IGM and other algorithms. However, this method The monitoring range is limited, and the monitoring results are easily affected by other errors, and the monitoring results are not accurate

SBAS (Satellite-Based Augmentation System, that is, satellite-based augmentation system) realizes ionospheric correction based on the ionospheric grid, and has a certain ionospheric anomaly monitoring function, but lacks the ability to classify and warn anomalies

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