FHSS signal characterization based on the crossterms free time-frequency distributions

Author

Draganic, Andjela ; Orovic, Irena ; Stankovic, Stevan

Author_Institution

Fac. of Electr. Eng., Univ. of Montenegro, Podgorica, Montenegro

fYear

2013

fDate

15-20 June 2013

Firstpage

152

Lastpage

155

Abstract

The application of the Cohen class time-frequency distributions has been considered for the analysis of signals in wireless communications. Several distributions are considered: spectrogram, Wigner-Ville, S-method, Born-Jordan, Choi-Williams, rectangular and Gaussian kernel based distribution. The possibility of using time-frequency distributions in decomposition of multicomponent wireless signals is examined. The signal separation procedure is based on eigenvalues and eigenvectors decomposition. Time duration and frequency range are estimated after the separation for each signal component. The theory is supported by the experimental results.

Keywords

Gaussian distribution; eigenvalues and eigenfunctions; frequency hop communication; radiocommunication; source separation; spread spectrum communication; time-frequency analysis; Born-Jordan distribution; Choi-Williams distribution; Cohen class time-frequency distributions; FHSS signal characterization; Gaussian kernel based distribution; S-method distribution; Wigner-Ville distribution; cross-term free time-frequency distributions; eigenvalues and eigenvectors decomposition; frequency hopped spread spectrum communication; multicomponent wireless signal decomposition; rectangular distribution; signal analysis; signal separation procedure; spectrogram based distribution; wireless communications; Kernel; Spectrogram; Cohen class; eigenvalues; eigenvectors; signal decomposition; time-frequency analysis; wireless communications;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Computing (MECO), 2013 2nd Mediterranean Conference on

Conference_Location

Budva

ISSN

1800-993X

Type

conf

DOI

10.1109/MECO.2013.6601343

Filename

6601343