Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Parameters for automatic modulation recognition of HF signals|
|Citation:||The 10th Institution of Engineering and Technology International Conference on Ionospheric Radio Systems and Techniques : (IRST2006) : 18 -21 July 2006 / organised by the Institution of Engineering and Technology Communication Networks and Services Technical and Professional Network, pp. 281-285|
|Conference Name:||Institution of Engineering and Technology International Conference on Ionospheric Radio Systems and Techniques (10th : 2006 : London, England)|
|J. Giesbrecht, R. Clarke, and D. Abbott|
|Abstract:||Two fundamental processes of modulation recognition are parameter extraction and feature selection. Parameter extraction determines unique characteristics of the signal such as frequency, phase, and amplitude. Parameters may also include statistical measures such as standard deviation, and nth-order moments and cumulants. This paper provides a brief review of two parameters, coherence and entropic distance, and re-introduces a statistical measure of signal-to-noise ratio (SNR). It also discusses the usefulness of these parameters in automatic modulation recognition of HF signals.|
|Description:||© IET 2006|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.