Abstract

Many distributed systems that perform indoor positioning are often based on ultrasound signals and time domain measurements exchanged between low-cost ultrasound transceivers. Synchronization between transmitters and receivers is usually needed. In this paper, the use of BLE technology to achieve time synchronization by wirelessly triggered ultrasound transceivers is analyzed. Building on a previous work, the proposed solution uses BLE technology as communication infrastructure and achieves a level of synchronization compatible with Time of Flight (ToF)-based distance estimations and positioning. The proposed solution was validated experimentally. First, a measurement campaign of the time-synchronization delay for the adopted embedded platforms was carried out. Then, ToF-based distance estimations and positioning were performed. The results show that an accurate and low-cost ToF-based positioning system is achievable, using ultrasound transmissions and triggered by BLE RF transmissions.

Highlights

  • The positioning techniques are based on the measurement of physical parameters such as the received signal strength (RSS), angle of arrival (AOA), Time of Flight (ToF), and Time Difference of Arrival (TDoA)

  • Indoor positioning techniques based on ultrasound transmissions and ToF measurements typically require time synchronization to achieve a unique and reliable time reference

  • A distributed positioning system based on ToF measurements and ultraIn this work, a distributed positioning system based on ToF measurements and ulsound signals with centimeter-level accuracy and compatible with commercial hardware trasound signals with centimeter-level accuracy and compatible with commercial hardplatforms was developed

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Summary

Introduction

The positioning techniques are based on the measurement of physical parameters such as the received signal strength (RSS), angle of arrival (AOA), Time of Flight (ToF), and Time Difference of Arrival (TDoA). Those measured values can be used to estimate the position using appropriate algorithms including fingerprinting, multilateration, and triangulation [29,30,31]. Indoor positioning techniques based on ultrasound transmissions and ToF measurements are considered an advantageous solution, because they provide high localization accuracy and do not require any fingerprinting

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