Multi-positioning Apparatus Using Distance and Angle Data
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Solution Overview
Problem
Current position measurement methods using distance information between anchor and unknown nodes or cameras suffer from low accuracy and convergence, especially in single camera positioning where the number of matching points is insufficient.
Innovation Solution
A multiple positioning apparatus that sets at least three anchor nodes, acquires distance and angle information, and calculates coordinates using weighted least squares or extended Kalman filters to improve accuracy and convergence, allowing position calculation even with insufficient matching points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position is calculated using only distance information between anchor nodes and unknown nodes, then the positioning system is simple to implement, but accuracy and convergence are relatively low
Solution Approach 1:
The patent combines multiple types of information (distance information between anchor and unknown nodes, distance information between unknown nodes, and angle information) into a unified positioning calculation. This merging of multiple information sources resolves the contradiction by improving positioning accuracy through comprehensive data utilization while maintaining system implementation feasibility through integrated processing.
Solution Approach 2:
The patent changes the parameters used for positioning from solely distance information to a combination of distance and angle information. By introducing angle information as an additional parameter and using weighted least squares or extended Kalman filters to process multiple parameters simultaneously, the system achieves higher accuracy without excessive complexity increase.
2Measurement precision
If single camera positioning is used with limited matching points, then the system requires fewer resources, but accuracy and convergence deteriorate
Solution Approach 1:
The patent introduces distance information between unknown nodes as an intermediary element that bridges the gap when matching points are insufficient. This intermediary information allows the system to achieve accurate positioning even with limited direct matching points by using relative distance relationships between multiple unknown nodes to constrain the solution space.
Solution Approach 2:
The patent replaces the traditional mechanical approach of requiring multiple matching points for accurate positioning with an information-based approach using distance and angle measurements. By substituting the matching point requirement with distance-angle information processing through weighted least squares or extended Kalman filters, the system achieves comparable or superior accuracy with fewer matching points.
3Measurement precision
If distance information is used for positioning, then the system is easier to implement, but accuracy and robustness are lower compared to using angle information
Solution Approach 1:
The patent merges distance information and angle information into a unified positioning framework. By combining these two types of information and processing them simultaneously using weighted least squares or extended Kalman filters, the system achieves the accuracy benefits of angle information while maintaining the implementation simplicity of distance-based systems.
Solution Approach 2:
The patent changes the information parameters from purely distance-based to a combination of distance and angle parameters. This parameter change enables the system to achieve higher accuracy and robustness by utilizing angle information, while the use of standardized calculation methods (weighted least squares, extended Kalman filter) keeps the implementation complexity manageable.
Data Source
AI summary
Provided is a multiple positioning method and apparatus including a node setting part for setting at least three anchor nodes whose positions are known to at least one unknown node whose position is to be obtained; an information acquisition part for acquiring distance information between each of unknown nodes and each of anchor nodes, distance information between unknown nodes and coordinate information of each of anchor nodes; and a coordinate calculation part for calculating coordinates of each of the unknown nodes based on the distance information between each of the unknown nodes and each of the anchor nodes, the distance information between the unknown nodes and the coordinate information of each of the anchor nodes.