Difference between revisions of "Indoor Positioning with Bluetooth"
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The Internet of Things (IoT) is believed to connect tens of billion devices by the year 2020 making it one of the key drivers for the semi-conductor industry. Thereby, a major part of the IoT will consist of moving devices such as unmanned cars or drones. For these kinds of applications the knowledge of the current location is essential. | The Internet of Things (IoT) is believed to connect tens of billion devices by the year 2020 making it one of the key drivers for the semi-conductor industry. Thereby, a major part of the IoT will consist of moving devices such as unmanned cars or drones. For these kinds of applications the knowledge of the current location is essential. | ||
− | Solely relying on Global Navigation Satellite Systems (GNSS) such as GPS is insufficient, since these signals cannot be received indoors. | + | Solely relying on Global Navigation Satellite Systems (GNSS) such as GPS is insufficient, since these signals cannot be received indoors. Even though there is no well established technology yet, Bluetooth LE beacons are gaining interest as low cost solutions for indoor positioning. |
==Project Description== | ==Project Description== | ||
− | The goal of this project is to implement the digital baseband of a Bluetooth LE receiver, that is able to gather information about nearby Bluetooth beacons. It should be able to detect | + | The goal of this project is to implement the digital baseband of a Bluetooth LE receiver, that is able to gather information about nearby Bluetooth beacons. It should be able to detect their identity and received signal strength, which can then be used to determine the position of the IoT device. This baseband can then be integrated on our RF SoC. |
− | ===Status: | + | ===Status: Completed === |
− | : | + | : Lorenz Becker-Sander, Robin Gadola (2019) |
− | : | + | : Supervision: [[User:msalomon | Mauro Salomon]], [[User:lstefan | Stefan Lippuner]] |
===Prerequisites=== | ===Prerequisites=== | ||
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: Student A, StudentB | : Student A, StudentB | ||
: Supervision: [[:User:Mluisier | Mathieu Luisier]] | : Supervision: [[:User:Mluisier | Mathieu Luisier]] | ||
+ | ---> | ||
+ | <!-- | ||
+ | ===Status: Available === | ||
+ | : Looking for 1-2 Master/Semester student | ||
+ | : Contact: [[User:msalomon | Mauro Salomon]] | ||
---> | ---> | ||
===Character=== | ===Character=== | ||
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[[Category:Digital]] | [[Category:Digital]] | ||
[[Category:Semester Thesis]] | [[Category:Semester Thesis]] | ||
− | |||
− | |||
− | |||
[[Category:FPGA]] | [[Category:FPGA]] | ||
[[Category:ASIC]] | [[Category:ASIC]] | ||
[[Category:Telecommunications]] | [[Category:Telecommunications]] | ||
[[Category:Msalomon]] | [[Category:Msalomon]] | ||
− | [[Category: | + | [[Category:Completed]] |
+ | [[Category:2019]] | ||
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Latest revision as of 12:12, 4 November 2019
Contents
Introduction
The Internet of Things (IoT) is believed to connect tens of billion devices by the year 2020 making it one of the key drivers for the semi-conductor industry. Thereby, a major part of the IoT will consist of moving devices such as unmanned cars or drones. For these kinds of applications the knowledge of the current location is essential.
Solely relying on Global Navigation Satellite Systems (GNSS) such as GPS is insufficient, since these signals cannot be received indoors. Even though there is no well established technology yet, Bluetooth LE beacons are gaining interest as low cost solutions for indoor positioning.
Project Description
The goal of this project is to implement the digital baseband of a Bluetooth LE receiver, that is able to gather information about nearby Bluetooth beacons. It should be able to detect their identity and received signal strength, which can then be used to determine the position of the IoT device. This baseband can then be integrated on our RF SoC.
Status: Completed
- Lorenz Becker-Sander, Robin Gadola (2019)
- Supervision: Mauro Salomon, Stefan Lippuner
Prerequisites
- Interest in wireless communications
- Knowledge in Matlab, C and/or VHDL is of advantage
Character
- 20% Theory, Algorithms, and Simulation
- 50% Hardware design (HLS or VHDL)
- 30% ASIC implementation (optional)