CORE
🇺🇦
make metadata, not war
Services
Research
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks
Authors
Yusuf Abdulkadir
Mohamad El Cheikh
Oluyomi Simpson
Yichuang Sun
Publication date
14 June 2018
Publisher
VDE VERLAG GMBH
Abstract
© 2018 VDE VERLAG GMBHIn this paper, spectrum sensing of digital video broadcasting-second generation terrestrial (DVB-T2) signals in different fading environments with energy detection (ED) is considered. ED is known to achieve an increased performance among low computational complexity detectors, but it is susceptible to noise uncertainty. By taking into consideration the edge pilot and scattered pilot periodicity in DVB-T2 signals, a low computational complex noise power estimator is proposed. It is shown analytically that the choice of detector depends on the environment, the detector requirements, the available prior knowledge and with the noise power estimator. Simulation confirm that with the noise power estimator, ED significantly outperforms the pilot correlation-based detectors. Simulation also show that the proposed scheme enables ED to obtain increased detection performance in fading channels
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
University of Hertfordshire Research Archive
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:uhra.herts.ac.uk:2299/2125...
Last time updated on 09/03/2020