Pilot Design for Compressed Sensing Based OFDM Channel Estimation

The channel estimation technique of classical pilot-based leads to better signal reconstruction performance. However, most communication systems ignore the adopted multipath assumption, and the channels exhibit sparsity. Channel sparsity is exploited by compressed sensing. The results show that in order to obtain a good sensing matrix, a proper design of the measurement matrix with respect to the pilot pattern is required. A proposed Random Search Algorithm is proposed to search for the optimal pilot location and use an appropriate nonlinear reconstruction algorithm. By comparing the conventional channel estimation with the evenly pilot pattern, the results show that there are different degrees of improvement in the channel estimation performance.