NDLI: Likelihood ratio tests for PSK modulation classification in unknown noise environment

Content Provider	IEEE Xplore Digital Library
Author	Tadaion, A.A. Derakhtian, M. Gazor, S. Aref, M.R.
Copyright Year	2005
Description	Author affiliation: Dept. of EE, Sharif Univ., Tehran (Tadaion, A.A.; Derakhtian, M.)
Abstract	We propose a computationally non-expensive and powerful modulation classifier (MC) in order to determine to the number of constellation points of a phase shift keying (PSK) signal in additive white Gaussian noise (AWGN). We consider the complex amplitude of the signal as well as the information sequence as the unknown parameters. In contrast of the existing literature, we assume that the variance of the noise is also unknown. A new MC algorithm is introduced based on the generalized likelihood ratio test (GLRT) assuming unknown deterministic parameters. We show that the GLRT solution does not outperform a random classifier, because the constellations under study are nested. To overcome this problem, we propose a classifier which uses the mixture of the concepts of GLRT and the average likelihood ratio test (ALRT). The ML estimates of the signal amplitude and the noise variance are employed and assuming the data as a sequence of independent uniformly distributed symbols, the likelihood function is averaged over the data symbols. This classifier is based on the fact that all the possible data symbols are equally likely to be transmitted whereas the GLRT based criterion does not use any indication of how probable a particular data symbol is. The implementation of these two classifiers requires either a search or an averaging over the possible information symbols, i.e., their computational complexities grow exponentially with the sequence length. Thus, we propose suboptimal implementations with almost no performance loss. The computational complexity of these implementations increase linearly with the sequence length. As we expect, simulation results confirm that the classification accuracy increases when the number of observed symbols or the signal-to-noise ratio (SNR) increases
Starting Page	151
Ending Page	154
File Size	220923
Page Count	4
File Format	PDF
ISBN	0780388852
ISSN	08407789
DOI	10.1109/CCECE.2005.1556898
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-01
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Phase shift keying Working environment noise Signal to noise ratio Additive white noise Gaussian noise AWGN Computational complexity Phase modulation Constellation diagram
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in