Performance Improvement of Time-Varing OFDM Channel Estimation and Equalization using ICI Self-Cancellation
利用ICI自消除改善OFDM系统时变信道估计与均衡的性能

Rapidly time-varying channels degrade the performance of the Orthogonal Frequency Division Multiplexing (OFDM) due to severe InterCarrier-Interference (ICI). The most effective method of canceling the ICI is frequency equalization. But, it relies on precise channel estimation. Basis Expansion Model (BEM) can approximate time-varying channel accurately. And since then, only some finite model parameters need to be estimated to reconstruct the channel. However, the pilot-symbol-aided parameter estimation is still significantly affected by ICI from near non-pilot-symbol. So, in this work an ICI-self-cancellation parameter estimation method is proposed for BEM, by utilizing the high correlation between subcarrier ICIs. Simulations show better performance than the simplex BEM methods.