Research Article
The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method
@ARTICLE{10.4108/eai.13-12-2017.153474, author={M. Kustra and K. Kosmowski and M. Suchanski}, title={The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={3}, number={12}, publisher={EAI}, journal_a={COGCOM}, year={2017}, month={12}, keywords={Hybrid detector, sensing, SNR Wall, noise uncertainty, Covariance Absolute Value, Cyclic Autocorrelation Function, OFDM, WiMAX.}, doi={10.4108/eai.13-12-2017.153474} }- M. Kustra
K. Kosmowski
M. Suchanski
Year: 2017
The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method
COGCOM
EAI
DOI: 10.4108/eai.13-12-2017.153474
Abstract
The paper discusses the hybrid sensing method and presents the hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) and a method based on the Covariance Absolute Value (CAV) or Cyclic Autocorrelation Function (CAF). The paper characterizes the limitations of the use of ED resulting from the uncertainty of spectral density of noise power estimation known as ‘SNR Wall’. The paper describes the system model and presents the simulation results for OFDM signal (Orthogonal Frequency Division Multiplexing) of WiMAX system. The simulation results refer to the ideal case of an environment with well-known parameters and for an environment with the uncertainty of spectral density of noise power estimation, as it has been considered in the literature so far.
Copyright © 2017 M. Kustra et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
