ARAIM Availability Prediction via Empirical Mode Decomposition
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Solution Overview
Problem
The existing ARAIM method cannot evaluate the availability of a satellite navigation system at a time point next to the current time point, which is not conducive for aerial crafts on long-distance flights.
Innovation Solution
The method involves receiving measurement data from satellites at multiple time points, performing empirical mode decomposition on position coordinates and clock offsets, using a preset autoregressive moving average model and random noise sequence parameter to predict mode components, and calculating horizontal and vertical protection levels and effective monitor thresholds for evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing ARAIM method is used to evaluate satellite navigation availability, then current time point evaluation is accurate, but future time point evaluation capability is lost
Solution Approach 1:
The patent performs empirical mode decomposition and autoregressive moving average prediction on satellite position coordinates and clock offsets to obtain mode components at future time points before actual evaluation is needed. This preliminary action enables availability evaluation at future time points, resolving the contradiction between current evaluation accuracy and future evaluation capability.
Solution Approach 2:
The patent creates a predictive model that copies the structure of current satellite measurement data (position coordinates and clock offsets) to generate simulated future data. By copying the data structure and applying statistical prediction, the system evaluates future availability without waiting for actual future measurements, thus gaining future time point evaluation capability while maintaining evaluation accuracy.
2Productivity
If satellite navigation system is used for long-distance flight, then flight efficiency is improved, but availability uncertainty at future time points increases
Solution Approach 1:
The patent performs availability evaluation at multiple future time points along the flight path by predicting satellite position coordinates and clock offsets using empirical mode decomposition and autoregressive moving average models. This preliminary evaluation of future availability reduces uncertainty before the flight occurs, enabling confident use of satellite navigation for long-distance flights and improving flight efficiency while maintaining reliability.
Data Source
AI summary
A method for evaluating the availability of ARAIM system is provided. A satellite position coordinate and clock offset of each satellite at a current time point and several time points before the current time point are received. Empirical mode decomposition is performed on the position coordinate and the clock offset respectively, to obtain a position coordinate mode component and a clock offset mode component of each satellite at each time point. A position coordinate mode component and a clock offset mode component of each satellite at a time point next to the current time point are obtained respectively. According to the position coordinate mode component and the clock offset mode component of each satellite at the time point next to the current time point, a position coordinate mode component and a clock offset mode component of each satellite at a next time point is obtained, thereby obtaining an evaluation result.