Radio Wave Propagation Estimation Using Feature Parameters
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Solution Overview
Problem
Existing methods for estimating radio wave propagation characteristics in indoor spaces, such as those described in JP 2014-158110 A and JP 2015-80061 A, are inadequate when detailed structure information or high-quality images are difficult to obtain, leading to inaccurate estimations.
Innovation Solution
A computer system estimates radio wave propagation characteristics using structure data and system data, configured with parameter values indicating the type and characteristics of the space, allowing for the retrieval and input of feature parameters that significantly contribute to the estimation, without requiring detailed structure information or images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed structure information or high-quality images are used for estimation, then estimation accuracy is improved, but user burden and data acquisition difficulty increase
Solution Approach 1:
The patent extracts only the essential feature parameters (floor area, ceiling height, wall material, window area, furniture arrangement) needed for accurate propagation estimation, eliminating the need for comprehensive detailed structure information or high-quality images. This selective extraction maintains estimation accuracy while significantly reducing data acquisition burden.
Solution Approach 2:
The patent transforms the estimation approach from requiring detailed visual/structural data to using simplified parameter representations (basic structural parameters, furniture parameters, propagation parameter). This parameter transformation enables accurate estimation with minimal input data, resolving the contradiction between accuracy and ease of operation.
2Measurement precision
If detailed structure information is required for estimation, then estimation accuracy is improved, but availability of the method decreases
Solution Approach 1:
The patent creates a universal estimation method that works across diverse indoor spaces (offices, homes, shops, hospitals, schools) by using common feature parameters that can be obtained in all environments. The system adapts to different space types through the type parameter while maintaining the same core estimation approach, enabling broad method availability without sacrificing accuracy.
Solution Approach 2:
The patent changes the input requirements from detailed structure information (which may not be available in all cases) to essential feature parameters that can be obtained through simple measurements or user input. This parameter transformation makes the method universally applicable to any indoor space regardless of data availability conditions.
3Loss of information
If images are used for structure extraction, then structure information can be obtained, but estimation accuracy decreases when high-quality images are difficult to acquire
Solution Approach 1:
The patent extracts only the critical structural features (floor area, ceiling height, wall material, window area) needed for propagation estimation, eliminating the dependency on images for structure extraction. This selective extraction approach obtains sufficient structure information without requiring images, maintaining accuracy regardless of image quality or availability.
Solution Approach 2:
The patent introduces an intermediary approach where instead of using images directly for structure extraction, the system uses simplified parameter input (measurements and user-provided information) as an intermediate step to obtain the necessary structural data for accurate propagation estimation.
Data Source
AI summary
A computer system, which estimates a radio wave propagation characteristic in a space where a wireless communication system using structure data and system data is constructed, includes a computer having a processor and a storage apparatus and holds feature parameter information, which stores an entry that associates a parameter included in structure data, that is, a feature parameter which greatly contributes to an estimation result of the radio wave propagation characteristic in the space with a type of the space. When receiving a request for estimation of a radio wave propagation characteristic in a target space, the processor retrieves an entry associated with a type of the target space from the feature parameter information, and presents an interface to input a value of the feature parameter included in the retrieved entry as estimation structure data and an interface to input estimation system data.