NDLI: Modulation Classification in MIMO Systems

Content Provider	IEEE Xplore Digital Library
Author	Kanterakis, E. Wei Su
Copyright Year	2013
Description	Author affiliation: US Army RDECOM CERDEC, Aberdeen Proving Ground, MD, USA (Wei Su) \|\| CACI Int., Inc., North Brunswick, NJ, USA (Kanterakis, E.)
Abstract	Blind modulation classification is an important aspect of today's military systems and is projected to play equal important role in future cognitive radio systems. Modulation classification in MIMO systems present the added difficulty of having to deal with a set of mixed signals as they are received at the receiving antenna array. Whereas, in narrowband SISO systems, the channel was assumed to be a simple complex constant in most cases, the narrowband MIMO channel presents a matrix channel. Without having an estimate of the channel matrix, it does not seem possible to perform modulation classification. Independent Component Analysis (ICA) allows the separation of independent sources in the case the number of receiving antennas is equal to or larger than the number of transmitting antennas. Here we extend previous work in the area of modulation classification in MIMO systems. Though it is applicable for any number of transmitting and receiving antennas, it makes a particular impact on MIMO systems which utilize a large number of transmitting antennas and or complex modulation schemes.
Sponsorship	IEEE Commun. Soc.
Starting Page	35
Ending Page	39
File Size	215294
Page Count	5
File Format	PDF
ISBN	9780769551241
DOI	10.1109/MILCOM.2013.15
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	MIMO Transmitting antennas Receiving antennas Binary phase shift keying Classification algorithms BSS Classification Modulation ALRT ICA
Content Type	Text
Resource Type	Article

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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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