Blind OFDM Signal Parameter Estimation

Title

Blind OFDM Signal Parameter Estimation

 Author

van der Mark, Kevin (TU Delft Electrical Engineering, Mathematics and Computer Science)

Contributor

Voogt, V (mentor)
Janssen, G.J.M. (graduation committee) ORCID 0000-0001-5423-4468
McCune, E.W. (graduation committee) ORCID 0000-0002-3208-2827

 Degree granting institution

Delft University of Technology

 Date

2019-08-28

 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.

 Subject

OFDM
Parameter
Estimation

 To reference this document use:

http://resolver.tudelft.nl/uuid:8912bf9f-b2d6-47f7-8336-831c5a6caf68

 Part of collection

Student theses

 Document type

master thesis

 Rights

© 2019 Kevin van der Mark
Files
PDF Blind_OFDM_signal_paramet ... mation.pdf 11.88 MB
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