NDLI: Automatic Modulation Classification under IQ Imbalance Using Supervised Learning

Content Provider	IEEE Xplore Digital Library
Author	Lichtman, M. Headley, W.C. Reed, J.H.
Copyright Year	2013
Description	Author affiliation: Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA (Lichtman, M.; Headley, W.C.; Reed, J.H.)
Abstract	The process of classifying digital modulation schemes given IQ imbalance at the transmitter or receiver is studied using fourth and sixth order cumulants as features. Various methods of supervised learning are proposed in order to mitigate the effect of IQ imbalance at the receiver, including K-Nearest Neighbors (k-NN), Support Vector Machine (SVM), and decision tree learning. The impact of IQ imbalance at the transmitter is also observed, as well as the effect of IQ imbalance on the theoretical cumulant values for each modulation scheme. Through simulation, it is shown that supervised learning approaches are effective at compensating for the IQ imbalances that can occur at the receiver.
Sponsorship	IEEE Commun. Soc.
Starting Page	1622
Ending Page	1627
File Size	272477
Page Count	6
File Format	PDF
ISBN	9780769551241
DOI	10.1109/MILCOM.2013.275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Receivers Training Supervised learning Binary phase shift keying Feature extraction Cumulant IQ Imbalance Modulation Classification SVM K-Nearest Neighbors Decision Tree Learning
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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