OFDM is a common modulation technique applied in the video downlink of drones. In order to eavesdrop on this link, the OFDM signal needs to be demodulated. OFDM demodulators separate orthogonal subcarriers to obtain single carrier signals. This process requires a lot of prior information on the signal parameters.

This thesis presents two techniques in obtaining these parameters blindly. The first approach is based on non-filtered channels, exploiting inherent OFDM signal properties. Although not realistic for practical applications it gives insight in the OFDM techniques. The second approach is based on the autocorrelation function, exploiting the correlation between the Cyclic Prefix and the end of an OFDM symbol. This techniques proves more robust to filtering and noise effects, but does introduce a noticeable error margin even present in the low noise simulations.