DocumentCode :
3402603
Title :
Modulation recognition techniques for improving communication efficiency in SDR networks
Author :
Ghodeswar, Shweta ; Poonacha, P.G.
Author_Institution :
Int. Inst. of Inf. Technol. Bangalore (IIIT-B), Bangalore, India
fYear :
2013
fDate :
20-22 Sept. 2013
Firstpage :
233
Lastpage :
238
Abstract :
Next century demand for a low cost, high efficiency wireless technology is expected to be the commercial implementation of Software Defined Radio (SDR) paradigm. This is expected to improve base station efficiency and robust universal receivers to provide seamless high quality service to the end user. One of the many problems which need to be solved effectively to make SDR infrastructure more efficient is modulation recognition. With robust modulation recognition module at the receiver, there will be no need to communicate transmission format type to the receiver which results in wastage of bandwidth. It will also allow base stations as well as mobiles to use a transmission method which is just right for the given channel conditions and to meet customer requirements on cost and quality of service. In this paper we review some interesting modulation recognition techniques after discussing the modulation recognition problem in some detail. We also present a modulation recognition method using six interesting features and study its performance.
Keywords :
modulation; software radio; SDR networks; communication efficiency; high efficiency wireless technology; modulation recognition techniques; next century demand; software defined radio; Estimation; Feature extraction; Modulation; Receivers; Signal to noise ratio; Software; Standards; Modulation classification schemes; SNR estimation; Software Defined Radio (SDR); modulation recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technology (ICCCT), 2013 4th International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4799-1569-9
Type :
conf
DOI :
10.1109/ICCCT.2013.6749633
Filename :
6749633
Link To Document :
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