ABSTRACT: This paper presents a method for the automatic classification of digital modulations without a priori knowledge of the signal parameters.
In order to design a flexible measurement instrument for digital telecommunication signals, a method has been proposed in a precedent paper.
KUMARESAN: 'Estimation of Frequencies of Multiple Sinusoids: Making Linear Prediction Perform Like Maximum Likelihood.'SIGNAL PROCESSING.
GADBOIS: 'Indentification of the modulation type of a signal.'SIGNAL PROCESSING. EUROPEAN JOURNAL DEVOTED TO THE METHODS AND APPLICATIONS OF SIGNAL PROCESSING Bd.
The method can automatically recognize the classical band-pass single carrier modulations such as ASK (Amplitude Shift Keying), PSK (Phase Shift Keying), FSK (Frequency Shift Keying), QAM (Quadrature Amplitude Modulation), and the multicarrier OFDM (Orthogonal Frequency Division Multiplexing), such as the DMT (Discrete Multi Tone) required by the ADSL (Asymmetric Digital Subscriber Line) and VDSL (Very high-speed Digital Subscriber Line) standards, and by the Home Plug 1.0 PLC (Power Line Carrier) transmission.
This paper presents the first experimental results obtained by applying the proposed method on simulated signals in different environments in order to evaluate its performances and application range.
The objective of this work is to assist newcomers to the field to choose suitable algorithms for intended applications.
The laboratory introduces fundamental testing, measurement, troubleshooting methodology and proper laboratory notebook maintenance.
Only the most well-known features and classifiers are considered, categorized, and defined.
The features include instantaneous time domain (ITD) parameters, Fourier transform (FT), wavelet transform (WT), higher order moments (HOM) to name a few.
The invention relates to a method for the automatic classification of digitally modulated signals, in which a complex information signal derived from the digitally modulated signal and modulated in accordance with a type of a modulation which is initially still unknown is transformed into several intermediate...
The invention relates to a method for the automatic classification of digitally modulated signals, in which a complex information signal derived from the digitally modulated signal and modulated in accordance with a type of a modulation which is initially still unknown is transformed into several intermediate signals, the information signal and the intermediate signals being processed further independently of one another; the complex envelope of the information signal only assumes a limited number of states in the state diagram of the complex plane.
The modulation model is formed by estimating the instantaneous frequency and bandwidth using autoregressive spectrum analysis.