Graduate Thesis Or Dissertation
 

Immune radio architecture for platform interference

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ff3658239

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  • The decrease of switching times accompanied by the corresponding increase of clock speeds and data rates, contributes to improve the overall system computational performance. At the same time, they also affect wireless communications due to an increment in the emissions of electromagnetic radiation on the radio bands. In this dissertation we have studied the sources and the performance in terms of the bit error rate (BER) noise generated at the receiver by the electromagnetic emissions of computing platforms. Statistical analysis of platform noise measurements done on the 2.4 GHz band have shown that this type of noise is Non-Gaussian, namely, it is K-distributed. Motivated by this fact, a statistical model that is consistent with the physical characteristics of the process rather than only on data fitting has been derived. The accuracy of the noise model is of paramount importance, as it allows us to design radios that are immune to it. Also, we have derived a new method for estimating the parameters of the K-distribution when a limited number of samples are available. The method is based on an approximation of the Bessel function of the second kind that reduces the complexity of the estimation formulas in comparison with the ones based on the maximum likelihood criterion. The method presented is shown to have better performance in comparison with existing methods of the same complexity yielding a lower mean squared error when the number of samples used for the estimation is relatively low. Finally, the mitigation of the platform noise has also been accomplished.
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