Spectrum Sensing by Cepstral Covariance Detection
Author:
Affiliation:
1. Electronics and Communications Engineering, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt
2. Lab-STICC, Univ Brest, CNRS, Brest, France
3. Lab-STICC Laboratory, UMR CNRS 6285, ENSTA Bretagne, Brest, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9792320/09729843.pdf?arnumber=9729843
Reference21 articles.
1. Detection and Classification of OFDM Waveforms Using Cepstral Analysis
2. Pilot symbol assisted channel estimation for OFDM-based cognitive radio systems
3. Autocepstrum Approach for Spectrum Sensing in Cognitive Radio
4. Wideband Temporal Spectrum Sensing Using Cepstral Features
5. A Wideband Spectrum Sensing Approach for Cognitive Radios Based on Cepstral Analysis
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