Blind OFDM Signal Parameter Estimation

Master thesis (2019)

Authors

K.P. van der Mark Electrical Engineering, Mathematics and Computer Science

Contributors

V Voogt TNO (mentor)
G.J.M. Janssen Signal Processing Systems - EEMCS (graduation committee member)
E.W. McCune Electronics - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Kevin van der Mark
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Published Date

28-08-2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

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.

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