Title :
Spectral analysis of OFDM signals and its improvement by polynomial cancellation coding
Author :
Panta, Kusha ; Armstrong, Jean
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Vic., Australia
Abstract :
In orthogonal frequency division multiplexing (OFDM) systems, the subcarriers are generated by an inverse discrete Fourier transform. In the literature, the spectra of these subcarriers are often represented by a sequence of sinc functions of the same polarity. This is not consistent with the intercarrier interference (ICI) cancellation properties of polynomial cancellation coding (PCC) or similar self-ICI cancellation schemes in OFDM. This paper shows the spectra of these subcarriers are more accurately represented by a sequence of sinc functions with alternating polarity. It is shown that the spectral rolloff of OFDM signals can be improved by PCC and the resultant OOB power is much reduced.
Keywords :
OFDM modulation; discrete Fourier transforms; interference suppression; modulation coding; spectral analysis; OFDM signals; intercarrier interference cancellation; inverse discrete Fourier transform; orthogonal frequency division multiplexing systems; polynomial cancellation coding; sinc functions; spectral analysis; Digital audio broadcasting; Digital video broadcasting; Discrete Fourier transforms; Filtering; Interference cancellation; OFDM modulation; Peak to average power ratio; Polynomials; Power engineering and energy; Spectral analysis;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2003.1261178