Position-Aware Data Correction With Bias-Compensating Filters
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Solution Overview
Problem
Existing data correction methods do not adequately account for position data biases resulting from limited sample sizes, leading to inaccuracies in data estimation.
Innovation Solution
A data correction device that includes a storage unit for position information, a filter generation unit to create filters based on positioning information, and a correction unit to apply these filters to position-based data, thereby correcting data using positioning intervals and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If data is expanded and estimated based on position data with a small number of samples, then data coverage is improved, but measurement precision deteriorates due to bias occurrence
Solution Approach 1:
The patent introduces filter data as an intermediary element between the raw position data and the final expanded data. This filter data, generated from positioning information such as GPS accuracy levels and sampling intervals, acts as a mediator that corrects biases in the expanded data while preserving the coverage benefits. The filter data compensates for the measurement precision loss by providing correction factors based on the characteristics of the positioning system and sampling conditions.
Solution Approach 2:
The patent changes parameters by generating filter data based on positioning information parameters such as GPS accuracy levels, sampling intervals, and positioning methods. By adjusting the filter generation parameters according to the specific positioning conditions, the system adapts the correction approach to match the data characteristics, thereby improving measurement precision without sacrificing coverage area.
2Device complexity
If position data with limited samples is used for data expansion, then device complexity is reduced, but measurement precision deteriorates due to bias in estimation
Solution Approach 1:
The filter data serves as a lightweight intermediary that adds minimal computational overhead while significantly improving estimation accuracy. Rather than implementing complex correction algorithms, the system uses pre-generated filter data based on positioning information, which simplifies the correction process while effectively reducing bias in the expanded data.
Solution Approach 2:
The filter data is generated in advance based on positioning information such as GPS accuracy levels and sampling intervals. This preliminary action allows the correction parameters to be prepared beforehand, reducing the computational complexity during the actual data expansion process while ensuring high measurement precision through pre-optimized correction factors.
3Measurement precision
If filter is applied to correct position data, then measurement precision is improved, but device complexity increases due to additional processing steps
Solution Approach 1:
The filter data acts as a pre-computed intermediary that simplifies the correction process. Instead of implementing complex real-time correction algorithms, the system applies pre-generated filter data that encapsulates the correction logic, thereby improving measurement precision while keeping the processing complexity low through straightforward data application operations.
Solution Approach 2:
The filter generation is performed as a preliminary action based on positioning information, separating the complex correction logic from the real-time data processing. This allows the main processing system to remain simple while the filter generation (which can be performed offline or in advance) handles the computational complexity, achieving high precision without increasing operational device complexity.
Data Source
AI summary
An object of the present invention is to appropriately correct data based on position data acquired by positioning. A data correction device 1 includes an information storage unit 11 that stores position information including position data acquired by positioning and positioning information relating to the positioning, a filter generation unit 13 that generates a filter on the basis of the positioning information included in the position information stored by the information storage unit 11, and a data correction unit 14 that applies the filter generated by the filter generation unit 13 on the basis of the positioning information included in the position information to data based on the position data included in the position information to thereby correct the data.