Wireless Device Positioning Using Motion Sensor Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional positioning methods in wireless communication systems rely on GPS satellites or base station deployment density, which limits precision in areas with few hotspots or stations, making accurate positioning challenging without these infrastructure elements.
Innovation Solution
A method and device that create a positioning coordinate system using motion sensors like speed, acceleration, and geomagnetic sensors to determine the moving track of a second device within a preset duration, enabling accurate positioning without satellite or base station assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If GPS satellite positioning is used, then positioning coverage is improved, but positioning precision deteriorates in areas with poor satellite visibility
Solution Approach 1:
The patent introduces motion sensors (accelerometer, gyroscope, magnetometer) as intermediary devices to measure device movement and orientation. These sensors serve as mediators between the device and the positioning system, enabling precise position calculation through sensor fusion algorithms that combine sensor data with wireless signal measurements, thus resolving the contradiction between coverage and precision.
Solution Approach 2:
The patent replaces the traditional satellite-based mechanical positioning system with an inertial measurement unit (IMU) based system. By substituting the satellite signal dependency with local inertial sensors, the system achieves precise positioning without relying on external infrastructure, thereby maintaining precision in areas with poor satellite visibility while preserving wide coverage.
2Adaptability or versatility
If base station or WI-FI positioning is used, then positioning infrastructure is established, but positioning precision is restricted by deployment density
Solution Approach 1:
The patent enables devices to perform self-positioning by utilizing their own built-in motion sensors to track their movement and orientation. This self-service capability eliminates the need for dense external positioning infrastructure, as each device independently calculates its position based on sensor data and wireless signal measurements, thereby achieving high precision regardless of base station or WI-FI hotspot density.
Solution Approach 2:
The patent segments the positioning function into two independent components: motion tracking (handled by device sensors) and position calculation (handled by processing unit). This segmentation allows the system to achieve precise positioning through local sensor measurements rather than relying on external infrastructure density, resolving the contradiction between infrastructure capability and positioning precision.
3Measurement precision
If motion sensor data is collected for positioning, then positioning precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the functions of motion sensing, orientation detection, and position calculation into a unified positioning system. By combining data from accelerometers, gyroscopes, magnetometers, and wireless signal receivers into a single sensor fusion framework, the system achieves high positioning precision while managing complexity through integrated processing rather than separate systems.
Solution Approach 2:
The patent makes the motion sensors serve multiple functions: they track device movement for positioning, determine device orientation for signal interpretation, and provide navigation data. This multi-functionality reduces the need for separate specialized components, thereby improving positioning precision without proportionally increasing device complexity.
Data Source
AI summary
A method includes obtaining a moving track shape of a second device that is presented before and after a wireless communication connection between the second device and the first device is broken, and a moving track of the second device presented before the wireless communication coupling between the second device and the first device is broken, and matching the moving track shape of the second device presented before and after the wireless communication connection between the second device and the first device is broken and the moving track of the second device presented before the wireless communication connection between the second device and the first device is broken to determine a moving track of the second device presented after the wireless communication connection between the second device and the first device is broken.


