Los Angeles, CA
March 31, 2009 to April 2, 2009
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.
Wavelet transform, Detection, Modulation, estimation, communication systems
Olusegun O. Odejide, Cajetan M. Akujuobi, Annamalai Annamalai, Gerald Fudge, "Signal and Modulation Type Detection Using Wavelet Transform", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 457-460, doi:10.1109/CSIE.2009.1003