Pilot Embedded Training for Doubly Selective Channel Estimation in OFDM Systems

Channel estimation and data detection are investigated for OFDM systems over time- and frequency-selective (doubly selective) channels. Relying on the complex exponential basis expansion channel model, a pilot embedded channel estimation scheme with low computational complexity and high data rate efficiency is proposed. An iterative edition exploiting recovered data to enhance the performance is also presented. Simulations show that the proposed method is suitable for doubly selective channel estimation in orthogonal frequency division multiplexing (OFDM) systems and the performance can be better than that of Wiener filter method under some conditions.