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Analysis of nonlinear FM signals by pattern recognition of their time-frequency representation

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2 Author(s)
Barbarossa, S. ; Dept. of InfoCom, Rome Univ., Italy ; Lemoine, O.

The aim is to propose a method for detection and parameter estimation of nonlinear FM signals, mono- or multicomponent, embedded in white Gaussian noise. The proposed approach consists in mapping the signal into the time-frequency plane by a time-frequency distribution with reassignment, and then in applying a pattern recognition technique, like the Hough transform, to the time-frequency representation to recognize specific shapes. The advantages of this method over the conventional maximum likelihood estimator are (1) a simpler implementation, because it reduces the dimension of the search space and (2) a consistent attenuation of the interference terms between different components of a signal or between signal and noise.

Published in:

Signal Processing Letters, IEEE  (Volume:3 ,  Issue: 4 )