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Improving cross-correlation spectrum sensing using two antennas

Smeenge, A.R. (2010) Improving cross-correlation spectrum sensing using two antennas.

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Abstract:Spectrum sensing is used in Cognitive Radio (CR) to be able to detect which frequency can be used for communication. Spectrum sensing is done with Spectrum Analyzers (SAs). An existing one-antenna cross-correlation SA (XCSA) uses cross-correlation to achieve a very low noise figure (NF) to be able to sense the spectrum more accurately. Uncorrelated noise added in two signal paths is averaged out using spectral averaging. The NF resulting from the correlated noise added by the XCSA is called the correlated NF. This thesis analyzes the improvements which can be made by sensing the spectrum with a two-antenna XCSA. To achieve that goal, first the correlated NF of the existing one-antenna XCSA is analyzed. This one-antenna XCSA uses a resistive splitter and a resistive matching network to split the signal into the two signal paths and match the impedance of two mixers, which form the input-stage of each signal path, to the impedance of the antenna. It is found that the resistive splitter and matching network account for 4:3dB of the correlated NF of the one-antenna XCSA, independent of the attenuation of the matching network. Furthermore, noise folding accounts for 1:6dB of correlated NF. The total amount of correlated NF, 5:9dB, is higher than the measured correlated NF of 2-4dB in previous work.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering MSc (60353)
Link to this item:http://purl.utwente.nl/essays/59734
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