HOS-based multi-component frequency estimation

Author

Pedzisz, Maciej ; Mansour, Ali

Author_Institution

Lab. Extraction et Exploitation de l´Inf. en Environnements Incertains (E3I2), Ecole Nat. Super. des Ing. des Etudes et Tech. d´Armement (ENSIETA), Brest, France

fYear

2005

fDate

4-8 Sept. 2005

Firstpage

1

Lastpage

4

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 (HOS) 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).

Keywords

frequency estimation; higher order statistics; multidimensional signal processing; phase shift keying; signal classification; signal representation; signal resolution; source separation; spectral analysis; BPSK signals; Gaussian noise; HOS; MUSIC; high-resolution spectral estimation method; higher order statistics; modulation identification; multicomponent frequency estimation; multidimensional representation; parameters estimation; signal analysis; signal distribution; signal separation; signal-to-noise ratio; time-frequency-phase representation; Binary phase shift keying; Frequency estimation; Frequency modulation; Multiple signal classification; Signal to noise ratio; Time-frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2005 13th European

Conference_Location

Antalya

Print_ISBN

978-160-4238-21-1

Type

conf

Filename

7077983