Master thesis talk, Syed Asar, Analysis of nonlinear Mixing Products observed in UHF Spectrum Scanning data

Hello,

Tuesday 24th Sept at 12:00 h in small Seminar room Syed Asar from ICT-Ma will give a talk on:

Analysis of nonlinear Mixing Products observed in UHF Spectrum Scanning data

UHF Spectrum (470…960 MHz) or in general the spectrum in the sub GHz range is crowded by a multitude of signals from different Emitters like DVB-T, 4G-LTE (IMT), PMSE (wireless Microphones, In ear monitors), PMR (private mobile radio), TETRA… just to name a few.

Furthermore thanks to excellent propagation and building penetration properties receivers and spectrum scanners face strong signals demanding high linearity and blocking robustness.
Due to huge level discrepancies high dynamic range spectrum scans are necessary which are difficult to record in these scenarios.

What comes on top of these problems is that aside of active forward nonlinearity issues, we also face other nonlinear mechanisms like reverse intermodulation and passive intermodulation.

Thus it happens that in spectrum recordings we face a lot of IMD signals, which are somehow ghost signals, that do not really convey information and just represent shaped intermodulation distortion (IMD).

In his master thesis Syed Asar has programmed an assistive tool for spectrum interpretation that is based on an IMD spectra prediction.
This IMD spectrum prediction is based on an efficient convolution algorithm.

In his talk Syed Asar will present the IMD prognosis and the GUI for the assistive tool.

It is applied to synthetic spectra, where ground truth knowledge is at hand, but also to real spectrum data that is provided by Mr. Fehr, who takes care of the OR scanning tool that is used to generate spectrum analysis reports for regulation and standardization.

What is new over earlier IMD predictions is that we really predict the shape of IMD noise and do not simply treat the signals as line spectra.

Also what is new is, that we can consider any arbitrary heterogeneous signal scenario being a mixture of signals with different bandwidths.

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Please be cordially invited!

Prof. Dr.-Ing. Georg fischer

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FAU - Friedrich-Alexander-Universität Erlangen-Nürnberg
LITES - Lehrstuhl für Intelligente Technische Elektronik und Systeme
Prof. Dr.-Ing. Georg Fischer
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