Pilot pattern optimization for compressed sensing based sparse channel estimation in OFDM systems

The frequency selective channel estimation problem in orthogonal frequency division multiplexing (OFDM) systems is investigated using compressed sensing (CS). Based on minimizing mutual coherence of the measurement matrix in CS theory, a criterion of optimizing the pilot pattern for the CS-based channel estimation is proposed. Simulation results show that using the pilot pattern designed according to the proposed optimization criterion gives a much better performance than using other pilot patterns in terms of the mean square error of the channel estimate as well as the bit error rate of the system.