Prediction method and prediction system for receiver autonomous integrity monitoring

Abstract

The invention relates to a prediction method and prediction system for receiver autonomous integrity monitoring (RAIM). The method includes the following steps of: acquiring three-dimensional terrain data, flight plan data and GPS satellite ephemeris data; calculating GPS satellite position coordinates, plane coordinates, leg terrain shielding angles and the geometric distribution of satellites relative to a plane at a certain moment in the flight plan data; screening visible satellites according to the terrain shielding angles, the geometric distribution of the satellites relative to the plane and receiver threshold elevations; analyzing satellite pseudo distance measurement errors, and constructing a weight coefficient matrix; calculating a horizontal protection value according to a weighted horizontal protection value (HPL) algorithm; and comparing the horizontal protection value with a horizontal alarm threshold value, and obtaining receiver autonomous integrity monitoring results. According to the prediction method, in a visible satellite screening process, a terrain shielding angle screening step is additionally adopted, and therefore, the accuracy and reliability of the prediction of the receiver autonomous integrity monitoring (RAIM) can be improved.

Description

technical field [0001] The invention relates to the field of technical support for dispatch and release of civil aviation flight operations, in particular to a prediction method and system for autonomous integrity monitoring of receivers. Background technique [0002] Receiver Autonomous Integrity Monitoring (RAIM) is a technique that utilizes only GNSS pseudorange measurements for integrity monitoring. The RAIM algorithm is embedded in the receiver, and the receiver executes the RAIM algorithm while receiving the GNSS measurement signal for positioning calculation. The basic principle of the integrity monitoring of the RAIM algorithm is to detect the consistency between the measured values ​​of each satellite, so redundant observation information is required. Usually only when the receiver can obtain more than five satellite measurements, the RAIM algorithm can be effectively executed to realize fault detection (FD), that is, to judge whether the received satellite measure...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a prediction method and system for autonomous integrity monitoring of receivers, so as to solve the technical problem that the above prediction results cannot accurately and intuitively reflect the availability of RAIM in actual flight, and there are potential safety hazards

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