DocumentCode
3730073
Title
Advanced algorithm for automatic modulation recognition for analogue & digital signals
Author
Badreldeen Ismail Dahap; Liao HongShu
Author_Institution
Faculty of Engineering, Department of Electronics and Computer science, Karary University, Khartoum 12304, Sudan
fYear
2015
Firstpage
32
Lastpage
36
Abstract
In this paper we propose a new algorithm for recognition of analogue and digital communication signals utilizing decision tree classifier. Eight features extracted from instantaneous information (amplitude and phase) and signal spectra are used to discriminate between eighteen signals (AM, FM, DSB, LSB, USB, VSB, combined (AM-FM), CW, Noise, MASK (2, 4 and 8), MPSK (2, 4 and 8) and MFSK (2, 4 and 8)) at low SNR. The simulation results show that the overall recognition rate can reach 99% when SNR=7dB. This algorithm has small computation loads comparing with most of the existing algorithms.
Keywords
"Frequency modulation","Signal to noise ratio","Universal Serial Bus","Digital modulation","Classification algorithms","Feature extraction"
Publisher
ieee
Conference_Titel
Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015 International Conference on
Type
conf
DOI
10.1109/ICCNEEE.2015.7381423
Filename
7381423
Link To Document