Compressed MIMO-OFDM channel estimation

Pilot-symbol-aided channel estimation (PSACE) method is mostly employed to acquire channel state information in wireless communication systems. By exploiting the coherent sparsity of the fading channels, compressive sensing (CS) based channel estimation method can greatly decrease the pilot overhead burden. In this paper, we propose CS-based channel estimation method for MIMO-OFDM systems over frequency-selective fading channel. Based on the MIMO-OFDM channel model, we firstly prove the restricted isometry property (RIP) of the measurements by discrete partial Fourier transform (PFT)-based PSACE method, and then estimate the MIMO-OFDM channel by orthogonal matching pursuit (OMP) method. Simulation results show that the proposed method outperforms conventional least square (LS) method and greatly decrease the pilot overhead burden.