Mobile 3D Positioning via Linear Kalman Filter
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Solution Overview
Problem
Existing wireless positioning methods are limited to fixed spaces and lack efficiency in mobile environments, requiring improvements for real-time, accurate location estimation of moving objects.
Innovation Solution
A mobile positioning device and location measurement method utilizing a new positioning formula that simplifies calculations and reduces computational load, enabling real-time location estimation of moving 3D objects by employing a linear location calculation formula and linear Kalman filter algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional location estimation method (trilateration) is used, then calculation speed is fast and network weight is low, but location estimation accuracy deteriorates due to error reflection in 1D distance measurement
Solution Approach 1:
The patent transitions from 1D distance measurement to 3D spatial positioning by introducing vertical height information. The location estimation is performed in three-dimensional space using coordinates (x, y, z) instead of traditional two-dimensional plane coordinates, enabling accurate positioning that accounts for elevation differences and providing a more comprehensive spatial representation.
Solution Approach 2:
The patent implements a dynamic positioning system where reference nodes and target nodes can move freely in 3D space. The location estimation method adapts to moving objects by continuously updating position calculations based on real-time distance measurements, making the system suitable for mobile platforms rather than fixed installations.
2Adaptability or versatility
If a 3D positioning method with four fixed nodes is used, then accurate 3D location estimation is achieved, but the method is limited to fixed space and cannot be implemented in mobile environments
Solution Approach 1:
The patent implements a dynamic positioning system where reference nodes and target nodes can move freely in 3D space. The location estimation method adapts to moving objects by continuously updating position calculations based on real-time distance measurements, making the system suitable for mobile platforms rather than fixed installations.
Solution Approach 2:
The patent creates a universal positioning method that works across diverse environments and platforms. The 3D location estimation technique can be applied to various mobile objects (drones, robots, vehicles) and different spatial configurations, making it broadly applicable beyond specific fixed-node implementations.
3Speed
If location estimation is performed in real-time for mobile objects, then speed is improved, but computational load increases due to continuous position updates
Solution Approach 1:
The patent optimizes computational parameters by using distance measurements from multiple reference nodes to directly calculate 3D coordinates through mathematical relationships. This approach changes the computational parameters from complex iterative optimization to more efficient algebraic calculations, reducing processing load while maintaining real-time performance.
Solution Approach 2:
The patent performs preliminary setup of reference nodes and their coordinate systems before mobile positioning begins. By pre-establishing the spatial framework and calculation relationships, the system reduces real-time computational requirements during actual positioning operations, as the mathematical model is already configured and ready for direct calculation.
Data Source
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AI summary
Disclosed are a mobile positioning device, and a location measurement method in a wireless network implemented on a mobile platform, and the mobile positioning device may include a first axis column (10), a second axis column (20), a third axis column (30), a first axis positioning terminal (110), a second axis positioning terminal (120), a third axis positioning terminal (130), an origin positioning terminal (140), a control board (150), and a driving unit.