GNSS Antenna Calibration Across Multiple Device Orientations
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Solution Overview
Problem
Current GNSS antenna calibration methods are limited, as they typically require expensive equipment or only calibrate in one direction, failing to account for the varied orientations in which smartphones and similar devices receive satellite signals, leading to inaccuracies in user positioning.
Innovation Solution
A method and device that calibrate a GNSS antenna by obtaining measurement data in multiple directions, integrating this data to generate calibration information, and adjusting the antenna's signal reception to compensate for phase center variations across all possible orientations, using a combination of a GNSS module, sensor module, and calibration module within an electronic device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS antenna calibration is performed using expensive robot arm or calibration software, then calibration accuracy in all directions is improved, but device cost increases
Solution Approach 1:
The patent uses software-based virtual calibration models to replicate the function of expensive physical calibration equipment. By creating computational models that simulate antenna radiation patterns and perform calibration calculations, the system achieves accurate multi-directional calibration without requiring costly robot arms or specialized calibration hardware, thus resolving the contradiction between calibration accuracy and device cost
Solution Approach 2:
The patent replaces mechanical calibration systems (robot arms, physical positioning devices) with software-based computational methods. The calibration process is performed through algorithms that process GNSS measurement data from multiple directions and orientations, substituting mechanical intervention with mathematical modeling and data processing to achieve the same calibration objectives at lower cost
2Device complexity
If GNSS antenna calibration is performed in one direction only, then calibration process is simplified, but positioning accuracy deteriorates due to varied device postures
Solution Approach 1:
The patent extends calibration from a single-direction (one-dimensional) approach to multi-directional (three-dimensional) calibration by incorporating device orientation data from sensors. The system collects GNSS measurements across multiple postures and orientations, adding spatial dimensions to the calibration process, thereby improving positioning accuracy for devices held in various positions while maintaining manageable complexity through systematic data integration
3Measurement precision
If multiple GNSS measurement data from different directions are collected and integrated, then calibration accuracy in all orientations is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the calibration process into distinct components: collecting GNSS measurements in different device postures, separately processing each orientation's data, and then integrating the results. By dividing the complex multi-directional calibration into manageable segments that can be processed independently and then combined, the system reduces overall data processing complexity while maintaining high calibration accuracy across all orientations
Data Source
AI summary
A method of calibrating a global navigation satellite system (GNSS) antenna includes obtaining GNSS measurement data corresponding to a plurality of directions that correspond to a plurality of respective postures of the electronic device, generating integration data by combining the GNSS measurement data corresponding to the plurality of directions, and performing calibration of the GNSS antenna based on the integration data.