Skip to Main content Skip to Navigation
Journal articles

Spectral Correlation of Multicarrier Modulated Signals and its Application for Signal Detection

Abstract : Spectral correlation theory for cyclostationary time-series signals has been studied for decades. Explicit formulas of spectral correlation function for various types of analog-modulated and digital-modulated signals are already derived. In this paper, we investigate and exploit the cyclostationarity characteristics for two kinds of multicarrier modulated (MCM) signals: conventional OFDM and filter bank based multicarrier (FBMC) signals. The spectral correlation characterization of MCM signal can be described by a special linear periodic time-variant (LPTV) system. Using this LPTV description, we have derived the explicit theoretical formulas of nonconjugate and conjugate cyclic autocorrelation function (CAF) and spectral correlation function (SCF) for OFDM and FBMC signals. According to theoretical spectral analysis, Cyclostationary Signatures (CS) are artificially embedded into MCM signal and a low-complexity signature detector is, therefore, presented for detecting MCM signal. Theoretical analysis and simulation results demonstrate the efficiency and robustness of this CS detector compared to traditionary energy detector.
Document type :
Journal articles
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01126186
Contributor : Laboratoire Cedric <>
Submitted on : Thursday, November 21, 2019 - 4:52:25 PM
Last modification on : Saturday, January 25, 2020 - 8:58:08 PM

File

794246.pdf
Publisher files allowed on an open archive

Identifiers

Collections

Citation

Haijian Zhang, Didier Le Ruyet, Michel Terre. Spectral Correlation of Multicarrier Modulated Signals and its Application for Signal Detection. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2010, 2010 (1), 14 p. ⟨10.1155/2010/794246⟩. ⟨hal-01126186⟩

Share

Metrics

Record views

122

Files downloads

77