Detection of FrFT-OFDM based on second order cyclo-stationary feature over fading channels

Author

Kamal, H.M. ; Fareed, E.M. ; Elgamel, S.

Author_Institution

EW Dept., M.T.C., Egypt

fYear

2014

fDate

22-23 Dec. 2014

Firstpage

125

Lastpage

129

Abstract

In this paper the second order cyclo-stationarity property of Fractional Fourier Transform (FrFT) OFDM is investigated. A novel closed form analytical expression for the cyclic autocorrelation function of FrFT-OFDM signal is derived. The derived formula is achieved in the presence of multipath dispersive channel along with additive white Gaussian noise (AWGN). Extensive Simulations are performed in order to investigate the cyclo-stationarity property of FrFT-OFDM signal over fading channel. A comparison with the cyclo-stationarity property of the conventional FT-OFDM signal is presented. It is shown that the FrFT-OFDM signal can be detected based on its second order cyclo-stationarity feature. Also, the autocorrelation function of the FrFT-OFDM is mathematically proven to be periodic. Its magnitude is estimated at different signal to noise ratio and different fractional order values by the aid of simulation.

Keywords

AWGN channels; Fourier transforms; OFDM modulation; fading channels; multipath channels; AWGN; FrFT-OFDM signal; additive white Gaussian noise; closed form analytical expression; cyclic autocorrelation function; cyclo-stationarity property; fading channels; fractional Fourier transform; fractional order values; multipath dispersive channel; second order cyclostationary feature; signal to noise ratio; Delays; Digital video broadcasting; MATLAB; Noise; OFDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering & Systems (ICCES), 2014 9th International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4799-6593-9

Type

conf

DOI

10.1109/ICCES.2014.7030942

Filename

7030942