Dissertation/Thesis Abstract

A Noise Estimation Scheme for Blind Spectrum Sensing Using EMD
by Nasr, Amr, M.S., University of New Hampshire, 2017, 78; 10274375
Abstract (Summary)

The scarcity of spectral resources in wireless communications, due to a fixed frequency allocation policy, is a strong limitation to the increasing demand for higher data rates. One solution is to use underutilized spectrum. Cognitive Radio (CR) technologies identify transmission opportunities in unused channels and avoid interfering with primary users. The key enabling technology is the Spectrum Sensing (SS). Different SS techniques exist, but techniques that do not require knowledge of the signals (non-coherent) are preferred. Noise estimation plays an essential role in enhancing the performance of non-coherent spectrum sensors such as energy detectors. In this thesis, we present an energy detector based on the behavior of Empirical Mode Decomposition (EMD) towards vacant channels (noise-dominant). The energy trend from the EMD processed signal is used to determine the occupancy of a given band of interest. The performance of the proposed EMD-based detector is evaluated for different noise levels and sample sizes. Further, a comparison is carried out with conventional spectrum sensing techniques to validate the efficacy of the proposed detector and the results revealed that it outperforms the other sensing methods.

Indexing (document details)
Advisor: Kirsch, Nicholas
Commitee: Carter, Michael, Kirsch, Nicholas, Miller, Thomas
School: University of New Hampshire
Department: Electrical and Computer Engineering
School Location: United States -- New Hampshire
Source: MAI 56/05M(E), Masters Abstracts International
Subjects: Electrical engineering
Publication Number: 10274375
ISBN: 978-0-355-03994-8
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