Radio Wave Intensity Extraction for Position Estimation
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Solution Overview
Problem
The variability in radio wave intensity due to noise affects the accuracy of position estimation based on radio wave intensity, leading to potential errors in determining distances between terminals in existing technologies.
Innovation Solution
An information processing device that acquires and extracts radio wave measurement results within a specific range (top 10% to top 30%) to reduce noise-induced variations, allowing for more accurate processing of radio wave intensities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radio wave intensity measurement is used for position estimation, then position information can be obtained, but measurement precision deteriorates due to noise-induced variations
Solution Approach 1:
The system performs preliminary measurements by acquiring multiple radio wave intensity values before final position estimation. This preliminary action allows the system to collect sufficient data points to identify and filter out noise-induced variations, ensuring more reliable position estimation results.
Solution Approach 2:
The system uses feedback by comparing multiple measured intensity values and selecting those that fall within a predetermined range (top 10% to top 30%). This feedback mechanism ensures that only consistent measurements are used for final position calculation, improving both precision and reliability.
2Measurement precision
If multiple measurement results are acquired to reduce noise impact, then measurement precision improves, but loss of time increases due to additional measurements
Solution Approach 1:
The system applies partial action by acquiring a specific number of measurements (enough to establish statistical significance) and then selecting only the top 10% to top 30% of results. This approach balances the need for precision with time constraints by not processing all measurements equally but focusing on the most reliable subset.
Solution Approach 2:
The system changes the parameter of measurement selection by introducing a percentile-based filtering criterion (top 10% to top 30%). This parameter change allows the system to adaptively select measurements based on their intensity values, achieving precision improvement without requiring excessive measurements.
Data Source
AI summary
Provided is an information processing device including an acquisition unit that acquires a measurement result of a radio wave, an extraction unit that extracts a measurement result indicating an intensity included in a range from top 10% to top 30% from a plurality of measurement results acquired by the acquisition unit, and a processing unit that performs a predetermined process by using the measurement result extracted by the extraction unit.


