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Radio Signal Direction Detection For Smart Glasses For Augmented Reality Applications

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Today Wearable sensing devices are gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. A promising application of smart glasses is augmented reality. Traditionally, AR has necessitated at minimum of position data, orientation data, and connectivity. However, the traditional solution is resource intensive and may not work indoor. An innovative approach consists in applying electronic warfare concepts to estimate the direction of arrival of the radio signal of an emitting source (e.g., an iBeacon) to provide users with Augmented Reality information directly on glasses lenses (e.g., the viewed environment is annotated with information coming from emitting objects). This solution, theoretically, does not necessitate of the same amount of data and resources as compared with the traditional AR approach and solves the indoor positioning problem. It can also be used with dynamically moving EM sources such as smartphones that are emitting a Bluetooth signal.

The student will design and implement an ultra low power system comprised by several (minimum 3) receiving Bluetooth low energy modules/antennas to deduct the direction of beacon sent by fixed and/or mobile anchors. The project will also focus on developing and testing the performances of the whole system by using a commercial RF transceiver and a low power microprocessor connected to build the full system. The project will be based on Wagoo's Intellectual Property and conducted in collaboration with said company. Information on the company is avaliable @

Depending on the applicant's profile and project type, his tasks may involve some of the following:

  • lab. testing/characterization of the existing prototype: verification of the prototype's characteristics w.r. design specification (simulations), measuring power-consumption, and assessing detection performance in lab. conditions
  • programming the circuit (microcontrollers) for specific application, field testing.
  • printed circuit-board design to make it suitable for the receiver and sensor part.

Status: Available

  • Looking for Semester and Master Project Students
Supervisors: Michele Magno


(not all need to be met by the single candidate)

  • experience using the laboratory instrumentation - signal generators, oscilloscopes, DAQ cards, Matlab etc.
  • analog electronics and signal conditioning with operational amplifiers: amplifiers, filters, integrators etc.
  • knowledge of microcontroller programming (C, preferably CC2650 but it is not mandatory)
  • basic knowledge on signal processing is a plus.
  • plus is knowledge on printed circuit board (PCB) using Altium.


30-40% Theory
30-40% Implementation
20-40% Testing


Luca Benini

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