Real Time Spectrum Analyzer Including an Automatic Digital Modulation Classifier

Vito, Luca De; Rapuano, Sergio; Villanacci, Maurizio

doi:10.1109/imtc.2008.4547295

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Cited by 3 publications

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“…They already proposed a method able to classify the signal modulation, in a single frequency band [3]. The method has been implemented in an instrument tested successfully on simulated [4], emulated [5] and actual signals, in absence [6] and in presence [7] of interferences. However, the instrument works properly in the hypothesis that one and only one signal at time is given.…”

Section: Introductionmentioning

confidence: 99%

Eigenvalue-based signal detector for an automatic modulation classifier

Vito

Napolitano

Rapuano

et al. 2010

2010 IEEE Instrumentation &Amp; Measurement Technology Conference Proceedings

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This paper describes the design and the experimental validation of a preprocessing block for an automatic modulation classifier. The preprocessing block performs two main tasks. The former consists of dividing the spectrum in sub-bands, while the latter has the aim of sensing the signal presence, in each subband. The signal sensing is provided by a method, based on the eigenvalues of the covariance matrix of the acquired record. Several experimental tests with simulated and actual signals, for different values of the Signal to oise Ratio, have been performed showing very high detection percentages.

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Section: Introductionmentioning

confidence: 99%