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High-Resolution Phase-Based Ranging Using Inverse Fourier Transform in an Iterative Bayesian Approach.

¹Faculty of Electronics Photonics and Microsystems, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland.

Sensors (Basel, Switzerland)

|October 26, 2024

Summary

This study introduces a new algorithm for precise distance measurement between transceivers using phase information. The method accurately determines distances in multi-path environments, applicable to Bluetooth Low Energy (BLE) technology.

Keywords:

Bayesian approach Bluetooth Low Energy channel sounding distance estimation high-resolution Fourier transform localization phase-based ranging

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Area of Science:

Signal Processing
Wireless Communication
Bayesian Inference

Background:

Accurate distance determination is crucial for various applications.
Existing methods may face challenges in multi-path environments.
Bluetooth Low Energy (BLE) offers potential for short-range communication.

Purpose of the Study:

To propose a novel algorithm for transceiver distance determination using phase information.
To address challenges in multi-path environments for accurate ranging.
To leverage phase data for high-resolution distance measurements.

Main Methods:

Development of a Bayesian algorithm to analyze phase samples.
Focus on phase information within a specific frequency range.
Algorithm designed to identify delays in multi-path environments.

Main Results:

Demonstrated high accuracy and resolution in distance determination.
Successful application in simulated multi-path scenarios.
Validation through several illustrative examples.

Conclusions:

The proposed algorithm offers a robust solution for accurate transceiver distance measurement.
Potential applications include virtual acoustics and advanced positioning systems.
The algorithm provides a balance of pros and cons for practical implementation.