Pseudo-range and Doppler Error Model Calibration for Satellite Positioning
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Solution Overview
Problem
Current satellite positioning technologies face challenges in calibrating error models for various types of terminals, leading to low universality and accuracy in positioning due to difficulties in determining pseudo-range and Doppler error models simultaneously.
Innovation Solution
An error model calibration method that involves receiving observation data, acquiring satellite data, and calibrating pseudo-range and Doppler error arrays for terminals based on geometric parameters and satellite data, fitting error models to describe discrete distributions of measurement errors under different carrier-to-noise ratios and altitude angles, thereby improving the universality of error model calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If error model calibration is performed for various types of terminals using conventional methods, then positioning accuracy can be improved for specific terminals, but the universality of the calibration method deteriorates due to difficulty in implementing across different terminal types
Solution Approach 1:
The patent applies universality by designing a calibration method that works across multiple terminal types (smartphones, tablets, wearables, IoT devices) using a unified approach. The system collects observation data from multiple terminals simultaneously and performs joint calibration, allowing the same calibration framework to serve diverse terminal types without requiring terminal-specific customization, thus resolving the contradiction between maintaining high positioning accuracy and achieving broad adaptability
2Measurement precision
If pseudo-range error model and Doppler error model are calibrated separately for each terminal, then measurement precision can be maintained, but device complexity increases due to the difficulty of implementing simultaneous calibration across multiple terminals
Solution Approach 1:
The patent merges the calibration processes by collecting observation data from multiple terminals simultaneously and performing joint calibration of pseudo-range and Doppler error models. Instead of separately calibrating each terminal's models independently, the system combines all terminals' observation data and executes a unified calibration algorithm that determines error models for all terminals in one integrated process, thereby reducing implementation complexity while preserving measurement precision
Data Source
AI summary
An error model calibration method can analyze discrete distribution situations of a pseudo-range measurement error and a Doppler measurement error under different carrier-to-noise ratios and altitude helping to calibrate and improve the universality of error model calibration. Observation data is received and satellite data is acquired based on the observation data. A pseudo-range error array and a Doppler error array are calibrated based on the observation data, geometric parameters, and the satellite data. The pseudo range error array describes errors of two terminals under a carrier-to-noise ratio and altitude angle of a satellite. The Doppler error array describes a discrete distribution of the two terminals. The pseudo-range error models respectively corresponding to the at least two terminals are fit using the pseudo-range error array. The Doppler error models respectively corresponding to the at least two terminals are fit using the Doppler error array.