Wireless Positioning Signal Strength Transformation Module
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Solution Overview
Problem
Current wireless positioning systems face accuracy issues due to variations in signal strength caused by different wireless devices and environments, particularly when the mobile communication apparatus used for collecting signal strength distribution models differs from the one used for positioning, leading to significant errors in location determination.
Innovation Solution
An apparatus and method that automatically generates a transforming module using a positive correlation index and approximation algorithms to instantly match signal strengths between different mobile communication apparatuses without requiring information about their chip models or locations, allowing for accurate location estimation by transforming signal strengths to align with a pre-built signal strength distribution model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If signal strength distribution models are collected using one mobile communication apparatus and positioning is performed using another, then the system can support multiple devices, but positioning accuracy deteriorates due to signal strength variations between different devices
Solution Approach 1:
The patent transforms signal strength parameters by applying device-specific transformation modules that adjust the signal strength distribution based on the characteristics of each mobile communication apparatus. This allows the system to maintain positioning accuracy across different devices by normalizing their signal strength measurements to a common reference frame.
Solution Approach 2:
The patent introduces a signal strength transformation module as an intermediary between the signal collection process and the positioning algorithm. This module acts as a mediator that converts signal strength measurements from any device into an equivalent form that matches the reference device's characteristics, thereby resolving the incompatibility between different devices.
2Measurement precision
If pre-built look-up tables with device-specific transformation modules are created, then positioning accuracy for known devices is improved, but system complexity increases due to the need to store and manage multiple device profiles
Solution Approach 1:
The patent creates a virtual reference model by copying and adapting the signal strength characteristics of a reference device. Instead of maintaining separate complex profiles for each device, the system uses transformation modules that mathematically map any device's signal measurements to the reference device's expected pattern, significantly reducing system complexity.
Solution Approach 2:
The patent designs a universal transformation framework that can handle multiple device types through a single system architecture. The transformation modules are designed to be device-agnostic, using universal mathematical relationships that work across different wireless chipsets and devices, eliminating the need for device-specific configuration tables.
3Measurement precision
If device-specific transformation modules are pre-configured, then signal strength variations between devices are eliminated, but the system cannot adapt to new devices or environmental changes
Solution Approach 1:
The patent implements dynamic transformation modules that can be updated and adapted in real-time. Rather than static pre-configured tables, the system uses adaptive algorithms that learn from actual signal measurements and automatically adjust transformation parameters to account for new devices and environmental changes, maintaining both consistency and adaptability.
Solution Approach 2:
The patent incorporates feedback mechanisms where the positioning system continuously monitors actual positioning results and uses this information to refine and update transformation modules. This closed-loop approach allows the system to self-correct and adapt to new devices and environmental conditions while maintaining signal strength consistency.
Data Source
AI summary
An apparatus for transforming a signal strength of a wireless positioning system is provided. The apparatus is adapted for eliminating the difference of signal strengths between different mobile communication apparatuses or different environments. The apparatus includes a location estimation circuit. The location estimation circuit is adapted to obtain a possible coordinate by calculating a first signal strength distribution received by a mobile communication apparatus. The possible coordinate and the first signal strength distribution are taken as training data for training a transforming module with an approximation algorithm. Accordingly, the present invention adopts a positive correlation index and the approximation algorithm for automatically training a transforming module for the mobile communication apparatus without using the information of chip model and location of mobile communication apparatus.