The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method

Kustra, M. and Kosmowski, K. and Suchanski, M. (2017) The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method. EAI Endorsed Transactions on Cognitive Communications, 3 (12): e2. ISSN 2313-4534

[img]
Preview
Text
eai.13-12-2017.153474.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (1MB) | Preview

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.

Item Type: Article
Uncontrolled Keywords: Hybrid detector, sensing, SNR Wall, noise uncertainty, Covariance Absolute Value, Cyclic Autocorrelation Function, OFDM, WiMAX
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 10 Sep 2020 14:14
Last Modified: 10 Sep 2020 14:14
URI: https://eprints.eudl.eu/id/eprint/210

Actions (login required)

View Item View Item