
HOS-BASED multicomponent FREQUENCY ESTIMATION


Maciej Pedzisz, Ali Mansour

 Laboratoire ''Extraction et Exploitation de ('Information en Environnements Incertains'' (E3I2)
  Ecole Nationale Supérieure des Ingénieurs des etudes et Techniques d'Armement (ENSIETA)
  2 rue Francois Verny, 29806 Brest cedex 9, FRANCE


ABSTRACT
We are considering a problem of carrier frequencies recovery for the linear
mixtures of two BPSK signals in Gaussian noise.
The goal is to simplify further signal analysis: signal separation,
modulation identification and parameters estimation. The presented method is
based on multidimensional (time-frequency- phase) representation of the Higher
Order Statistics (H0S) of the received signal distribution. Performance of the
proposed algorithm is verified through extensive simulations and compared to the
MUSIC high-resolution spectral estimation method. Corresponding results show that
our technique outperforms the latter for all considered frequency shifts, even for
 high signal-to-noise ratios (SNR).
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