The objective of this project is to develop an RFI detection module, from the initial conception of the RFI detection techniques, to their eventual integration in a software/hardware platform and in-field testing. The student will acquire a strong theoretical background of RFI detection methodologies, including multiuser detection, kurtosis detection, multichannel interference detection, cross-frequency detection and more classical techniques such as those based on radiometry, joint time-frequency analysis, etc. The student will include a potential risk analysis of the effect of other signals present in the environment on the performance of the detection techniques. The student will develop algorithms to deal with a congested radio spectrum, so that the RFI to be detected does not become masked by other signals of the environment. Then, a full performance assessment of the software implementation will be carried out. The hardware implementation of the detection module alone will also be tested in-field through employing of SDR and Channel Emulator, by means of real-life RFI measurements.
