NDLI: Low-complexity identifier for M-ary QAM signals

Content Provider	IEEE Xplore Digital Library
Author	Liang Hong
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering, Tennessee State University, Nashville, 7209, USA (Liang Hong)
Abstract	Automatic modulation classifier that reports the modulation type of a received signal blindly has found many applications in adaptive communications, software defined radio and non-cooperative communications. However, the majority of existing techniques does not include the classification of QAM signals that have been widely used in modem standards and high capacity radio systems. This paper developed a low-complexity Haar wavelet transform based QAM classifier by taking into account the ease of computation of the Haar wavelet transform. The number of multiple steps in the Haar wavelet transform magnitude was first detected through finding the numbers of peaks in the histogram of the Haar wavelet transform magnitude. It is then used for recognizing the size of the constellation. Simulations proved that the developed QAM classifier has high identification accuracy. It achieves more than 94% correct classification when SNR is 8dB and is practically inerrable when SNR is greater than 12dB.
Starting Page	164
Ending Page	168
File Size	100481
Page Count	5
File Format	PDF
ISBN	9781424439768
DOI	10.1109/SECON.2009.5174069
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quadrature amplitude modulation Signal processing Wavelet transforms Signal processing algorithms Software radio Modems Histograms Frequency shift keying Phase shift keying Pattern recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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