[BEAMS-EE-FQ] Automatic signal detection and classification with software-defined radios | BEAMS

[BEAMS-EE-FQ] Automatic signal detection and classification with software-defined radios

Project information
Project type: 
Master thesis
Academic year: 
Research unit: 
Embedded Electronics
BEAMS supervisors


In the context of ever-faster digital logic and increasing quality requirements, wireless transmitter and receivers are moving towards software-defined platforms. Recently, software-defined radios (SDR) have gained tremendous importance and have become the de facto alternative for a wide variety of applications.

One possible application is to use SDRs for automatic spectrum monitoring and spectrum usage. This is of course very important for the Belgian Institute for Postal services and Telecommunications (BIPT), whose task (as a regulator) is to control the (correct) use of spectrum frequency bands.



An automated spectrum scanning system was developed by the BEAMS department with SDRs in the previous years. However, the system has not been widely tested in outdoor environments yet.  

The objective of this thesis is to test and improve the existing detection system. The student will have to test the scanning system in real outdoor environments, characterize the system performance, modify or improve it wherever needed. The student will also have to port the existing code to an embedded microcontroller system, and ensure that the proposed system is robust enough for autonomous operation in realistic environments (driving vehicles, low maintenance). The software is written in C++ for the microcontroller part, and in Verilog for the FPGA part.

In a later stage, the system can be extended to automatically detect which type of transmitter is using the frequency band (e.g. by determining the modulation type), and maybe detect the protocol that is used in the frequency band.


Promoter: Prof. François Quitin (ULB)

Information : François Quitin (fquitin [at] ulb [dot] ac [dot] be) Tel : 02-650-2829, BEAMS Department

Students : ELEC, INFO

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