Wireless Position Estimation Using Signal Correction
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Solution Overview
Problem
Current methods for estimating the position of wireless communication devices lack accuracy due to factors like radio wave attenuation and reflection by surrounding objects, which affect the reliability of signal strength indicators used in positioning calculations.
Innovation Solution
An apparatus and method that utilize a processor to estimate the position of wireless communication devices by correcting received signal strength indicators with attenuation and reflection correction values, based on stored information about positional candidates and the influence of nearby objects on radio waves, improving estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal strength indicators are used for position estimation without correction, then the estimation process is simple, but the accuracy is low due to attenuation and reflection by surrounding objects
Solution Approach 1:
The system pre-calculates and stores correction values for signal strength indicators under various conditions (different objects, positions, and environments) before actual position estimation is needed. When estimating a position, the system simply retrieves and applies the appropriate pre-computed correction value, avoiding complex real-time calculations while improving accuracy by accounting for attenuation and reflection effects
Solution Approach 2:
The system compensates for the harmful effects of signal attenuation and reflection by applying correction values that were determined in advance through simulations or measurements. This beforehand cushioning counteracts the expected signal degradation, allowing accurate position estimation even in the presence of surrounding objects that would otherwise distort the signal
2Measurement precision
If correction values for attenuation and reflection are applied, then position estimation accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The system performs the computationally intensive task of calculating correction values for attenuation and reflection effects in advance, storing these values in a database or lookup table. During actual position estimation, the system only needs to retrieve the appropriate correction value and apply it, dramatically reducing processing time while maintaining high accuracy
Solution Approach 2:
The system creates a simplified model or copy of the complex physical environment by pre-computing correction values that represent the effects of various objects and conditions. Instead of performing complex real-time physics calculations, the system uses these pre-computed copies of environmental effects to quickly adjust signal strength measurements for accurate position estimation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of wireless communication device positioning by accounting for the impact of objects on radio wave propagation, leading to more precise location determination and arrangement estimation.
Implementation Method 1
second information related to an influence on the plurality of positional candidates due to at least any of an attenuation and a reflection of a radio wave by an object
Implementation Method 2
second information related to an influence on the plurality of positional candidates due to at least any of an attenuation and a reflection of a radio wave by an object
Data Source
AI summary
According to one embodiment, a memory stores a first information including a positional relationship among a plurality of positional candidates, a second information including an influence on the plurality of positional candidates due to at least any of an attenuation and a reflection of a radio wave by an object located at a periphery of the plurality of positional candidates, and a third information including a first received signal strength indicator of the radio wave transmitted from a first wireless communication device and received by a second wireless communication device. A processor estimates a position of the second wireless communication device from the plurality of positional candidates, based on a first value as the first received signal strength indicator corrected with a first correction value based on the second information, and a plurality of first distances between the first wireless communication device and each of the plurality of positional candidates.