Proximity Interaction Detection With Adaptive RF Power Feedback
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Solution Overview
Problem
Existing radiofrequency communication protocols for detecting proximity between devices suffer from imprecision due to biased distance estimates caused by signal attenuation and non-line-of-sight propagation, often leading to inaccurate interaction applications.
Innovation Solution
A method involving a first device transmitting a message at a first power, receiving a response message with data on the second device's transmission power, and adjusting subsequent messages based on this information to confirm proximity and estimate distance, using a collaborative process to verify propagation conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distance estimation is performed based on received signal power (RSSI), then the receiving object can estimate distance from transmitting objects, but the distance estimate becomes biased due to signal attenuation and non-line-of-sight propagation
Solution Approach 1:
The patent implements a feedback mechanism where the receiving object sends back its estimated distance and propagation condition assessment to the transmitting object. The transmitting object then adjusts its transmission power based on this feedback, creating a closed-loop system that continuously refines distance estimation accuracy while accounting for signal attenuation and propagation conditions.
Solution Approach 2:
The patent introduces an intermediary assessment of propagation conditions (line-of-sight vs. non-line-of-sight) that mediates between the raw signal power measurement and the final distance estimation. This intermediary step allows the system to account for signal attenuation and propagation effects, improving the reliability of distance estimates by selecting appropriate estimation methods based on propagation conditions.
2Use of energy by moving object
If transmission power is reduced to minimum target power, then energy consumption is reduced, but proximity detection accuracy deteriorates
Solution Approach 1:
The patent implements dynamic transmission power adjustment where the transmitting object varies its power level based on real-time feedback from the receiving object about distance and propagation conditions. This dynamic approach allows the system to use minimum power when objects are close and properly detected, while increasing power only when needed to maintain detection accuracy, thus optimizing energy consumption without sacrificing precision.
Solution Approach 2:
The patent changes the transmission power parameter dynamically based on assessed propagation conditions and measured distance. By adjusting this key parameter according to actual operating conditions rather than using a fixed power level, the system achieves both energy efficiency and maintained detection accuracy across varying scenarios.
3Measurement precision
If collaborative verification of propagation conditions is implemented, then distance estimation accuracy is improved, but communication protocol complexity increases
Solution Approach 1:
The patent segments the distance estimation process into distinct phases: initial distance estimation by the receiving object, propagation condition assessment, feedback transmission, and power adjustment. This segmentation allows each phase to be handled independently with specialized algorithms, improving overall accuracy while organizing the complexity into manageable, modular components.
Solution Approach 2:
The patent implements self-service mechanisms where each object autonomously performs distance estimation and propagation condition assessment based on its own measurements, then shares this information with the other object. This self-service approach distributes the computational burden and protocol complexity across both objects rather than concentrating it in one object, making the enhanced accuracy achievable without excessive centralized complexity.
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
This method enhances the accuracy of proximity detection by confirming device interactions and estimating distances more precisely, ensuring that interactions occur only within defined geographical criteria, thus improving the reliability of applications like contactless payments and safe distance maintenance.
Implementation Method 1
transmission of a first message at a first transmission power... reception of at least one second message coming from at least the second device... transmission of a third message at a third transmission power
Implementation Method 2
reception of at least one second message coming from at least the second device, said second message being received at a second reception power
Data Source
AI summary
A method, implemented by a first device, for establishing a radiofrequency communication with at least a second device is disclosed. The method includes a) transmission of a first message at a first transmission power, b) reception of at least one second message coming from at least the second device, the second message including data relating to a second transmission power of the second device, c) transmission of a third message at a third transmission power towards the second device, the third transmission power being determined on the basis of the second transmission power.


