RF Distance Estimation Using Phase-Corrected Time of Flight
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Solution Overview
Problem
Existing methods for distance estimation using radio frequency signals face challenges in achieving accurate distance determination due to errors in time of flight measurement, particularly in non-ideal conditions such as phase offsets and synchronization issues between transmitter and receiver.
Innovation Solution
A method and apparatus that periodically receive and transform RF signals, compare the transformed data with reference data to estimate corrections to the time of flight, using phase offset calculations to improve distance estimation accuracy between the receiver and the signal origin.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time of flight is measured directly using RF signals, then distance determination is achieved, but measurement precision deteriorates due to phase offsets and unsynchronized clocks
Solution Approach 1:
The patent applies preliminary action by pre-synchronizing clocks between transmitter and receiver before distance measurement. The system performs clock synchronization procedures prior to the actual time of flight measurement, ensuring that both devices operate with synchronized time references. This preliminary synchronization eliminates phase offsets and timing errors that would otherwise degrade measurement precision, allowing accurate distance determination without requiring complex real-time correction mechanisms.
2Measurement precision
If signal attenuation analysis is used for distance determination, then distance estimation is achieved, but measurement precision deteriorates in non-ideal propagation conditions
Solution Approach 1:
The patent replaces the mechanical/physical measurement approach of signal attenuation analysis with an electromagnetic time-based measurement approach. Instead of analyzing signal strength degradation which is sensitive to propagation conditions, the system measures the time of flight of RF signals between synchronized devices. This substitution of measurement methodology eliminates sensitivity to signal attenuation variations caused by environmental factors, maintaining high precision across different propagation conditions.
3Measurement precision
If complex correction algorithms are implemented to account for phase offsets, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent eliminates the need for complex correction algorithms by performing clock synchronization as a preliminary action before measurement. By ensuring clocks are synchronized in advance, the system prevents phase offsets from occurring during the actual measurement process, rather than requiring complex post-processing corrections. This approach maintains high measurement precision while keeping device complexity low, as the synchronization mechanism is simpler than continuous correction algorithms.
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 approach enhances the accuracy of distance estimation by accounting for phase offsets and synchronization errors, leading to a more precise calculation of the time of flight and subsequently the distance between devices.
Implementation Method 1
determine the distance from one point to another, for example, to locate an object. It is possible to determine a distance between two points by using radio frequency (RF) waves
Implementation Method 2
Other methods of distance determination involve determining the time of flight of a signal that is transmitted from a first device to a second device and then using the equation: d=c×ttof where d=the distance between the first and second devices, c is the speed of light and ttof is the time of flight
Data Source
AI summary
A method, comprising: periodically enabling reception of a signal at a receiver, every first time; transforming the received signal in order to determine data in the received signal; comparing the determined data with reference data; and using the difference between the determined data and the reference data to estimate a correction to a multiple of the first time in order to determine a distance between the receiver and an origin of the signal.


