Title :
Channel estimation for OFDM systems using superimposed training
Author :
Xu, Daofeng ; Yang, Luxi
Author_Institution :
Dept. of Radio Eng., Southeast Univ., China
Abstract :
Superimposed training has raised lots of attentions due to its great spectral efficiency and its relatively fast channel estimation algorithms. In this paper, we present channel estimation methods for OFDM system using periodic superimposed training added in frequency domain. At the receiver, channel estimation is done both in time domain (pre-FFT) and frequency domain (post-FFT). In addition, we prove that the estimation is MMSE solution. Simulations show that those methods are effective especially when SNR is lower.
Keywords :
OFDM modulation; channel estimation; fast Fourier transforms; MMSE solution; OFDM systems; SNR; fast channel estimation algorithms; frequency domain; periodic superimposed training; post-FFT; pre-FFT; time domain; Additive white noise; Blind equalizers; Channel estimation; Channel state information; Convergence; Digital signal processing; Frequency domain analysis; Information rates; OFDM; Wireless communication; OFDM; superimposed training;
Conference_Titel :
Internet, 2005.The First IEEE and IFIP International Conference in Central Asia on
Print_ISBN :
0-7803-9179-9
DOI :
10.1109/CANET.2005.1598189
