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Signal and Modulation Type Detection Using Wavelet Transform

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4 Author(s)
Odejide, O.O. ; Center of Excellence for Commun. Syst. Technol. Res. (CECSTR), Prairie View A&M Univ., Prairie View, TX, USA ; Akujuobi, C.M. ; Annamalai, A. ; Fudge, G.

In several communication systems such as tactical communications, cognitive radio and intelligent transceiver designs; signal detection, estimation and classification is an essential integral part of such system. The ability to detect certain types of common signals without apriori information enhances design of such system. In this paper we present a model that is capable of detecting chirp signal, and digitally modulated signals without apriori information using wavelet transform analysis.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:1 )

Date of Conference:

March 31 2009-April 2 2009