Channel Estimation for OFDM Systems Using Superimposed Training
Daofeng Xu, Luxi Yang · 2006
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.