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Modulation Recognition for Software Defined Radio Signal

Modulation Recognition for Software Defined Radio Signal
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Author(s): Sudhar Sophia (Sri Krishna College of Engineering & Technology, India), M. Madheswaran (Muthayammal College of Engineering, India)and S. Sasikumar (Hindustan College of Engineering & Technology, India)
Copyright: 2012
Pages: 15
Source title: Handbook of Research on Mobile Software Engineering: Design, Implementation, and Emergent Applications
Source Author(s)/Editor(s): Paulo Alencar (University of Waterloo, Canada)and Donald Cowan (University of Waterloo, Canada)
DOI: 10.4018/978-1-61520-655-1.ch023

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Abstract

Software Defined Radio (SDR) is the foundation for universal wireless devices. To realize SDR system, the parameters like carrier frequency, symbol rate, and modulation scheme should be reconfigured by the adaptive receiver. Automatic modulation recognition (AMR) algorithm has to identify the modulation scheme of a transmitted signal with a high probability of success within a short observation time. Blind recognition algorithms are useful in identifying the modulation type without any prior knowledge of the transmitted signal parameters. The blind modulation detection determines the type of modulation within the information conveyed by the least possible number of received samples. Therefore, the objective is to make use of the distribution of data or errors to make a statistical inference about type of modulation used.

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