Two-Dimensional Signal Distribution for Electronic Key Positioning
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Solution Overview
Problem
Existing communication terminal position determination devices struggle to accurately differentiate between reception signal strengths detected inside and outside a vehicle, as these signals often overlap or mix, making it difficult to determine the position of an electronic key accurately.
Innovation Solution
A processing device and method that convert detection strengths into a two-dimensional distribution, demarcate a mixed region, and replace it with a distribution from another source pair having lower mixing, allowing for clearer separation of detection results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reception signal strengths from multiple sources are detected to determine position, then position determination capability is improved, but the detection results from different positions become mixed and难以 to clearly divide
Solution Approach 1:
The patent transforms the mixed detection results into a two-dimensional distribution space where signal strengths from different sources form distinct coordinate points. By plotting detection results in this expanded dimensional space, the system can visually and computationally separate overlapping data from different positions, resolving the mixing problem while maintaining position determination accuracy.
Solution Approach 2:
The patent divides the detection results into separate groups based on their spatial distribution in the two-dimensional coordinate system. By segmenting the mixed data into distinct clusters corresponding to different positions, the system can clearly differentiate between detection results from inside and outside the vehicle, eliminating the information loss caused by mixing.
2Ease of operation
If a determination expression is derived from mixed detection results, then position determination can be performed, but the accuracy of the determination expression decreases
Solution Approach 1:
The patent uses two-dimensional distribution to separate mixed detection results before deriving the determination expression. By transforming the data into this expanded space, the system can extract cleaner, more accurate patterns from each position group, leading to a more precise determination expression that maintains operational simplicity.
Solution Approach 2:
The patent performs preliminary separation of detection results into distinct position groups before deriving the determination expression. This pre-processing step ensures that the expression is trained on clean, separated data rather than mixed data, significantly improving its accuracy while keeping the overall process straightforward.
3Reliability
If detection strengths from multiple sources are used, then detection capability is improved, but the mixed region makes it difficult to separate first position results from second position results
Solution Approach 1:
The patent resolves the separation difficulty by transforming detection results into a two-dimensional distribution space. In this expanded space, even overlapping data from multiple sources and positions become separable through their distinct coordinate patterns, maintaining high detection reliability while reducing the difficulty of separation.
Solution Approach 2:
The patent employs visual differentiation in the two-dimensional distribution, where detection results from different positions can be distinguished through their spatial distribution patterns. This approach makes the separation task much easier by providing clear visual and computational distinctions between mixed data groups.
Data Source
AI summary
A processing device that processes detection strengths detected at a first detection position and a second detection position by a detector for detecting detection targets generated from a plurality of sources, includes a two-dimensionalization unit converting detection strengths a pair of sources into a two-dimensional distribution of coordinate points in which the detection strength for one source is represented by an X-axis value, and the detection strength for the other source is represented by a Y-axis value; a demarcation unit demarcating in the two-dimensional distribution of coordinate points, a predetermined region including a mixed region in which coordinate points relating to the first detection position and coordinate points relating to the second detection position are mixed; and a replacement unit replacing the two-dimensional distribution of coordinate points in a demarcated region that has been demarcated, with a two-dimensional distribution of coordinate points relating to another pair of sources.