Open AccessSpectrum Sensing and AM-FM Decomposition through Synchrosqueezing
Author(s) -
K. Vandhana,
P. V. S. Sowmya,
P. Roshni,
K Lakshmi Divya,
S. Ashwin,
K. A. Narayanankutty
Publication year - 2013
Publication title -
wireless engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2152-2308
pISSN - 2152-2294
DOI - 10.4236/wet.2013.43020
Subject(s) - instantaneous phase , cognitive radio , time–frequency analysis , amplitude , frequency modulation , computer science , signal (programming language) , feature (linguistics) , speech recognition , wavelet , radio spectrum , artificial intelligence , decomposition , wavelet transform , algorithm , computer vision , physics , telecommunications , radio frequency , optics , ecology , linguistics , philosophy , filter (signal processing) , wireless , biology , programming language
In this paper we have accomplished one of the tasks of cognitive radio i.e. dynamic spectrum sensing by using wavelet based Synchrosqueezing transform [1], a novel technique, which was proposed to analyze a signal in time-frequency plane. The distinctive feature of this transform compared to other techniques is that it enables us to decompose amplitude and frequency modulated signals and allows individual reconstruction of these components. The objective is also to separate the occupied band into amplitude modulated and frequency modulated bands.