Application of compressive sensing to channel estimation of high mobility OFDM systems

Abstract

In this paper, we propose a new compressive sensing (CS) based channel estimation method for high mobility orthogonal frequency division multiplexing (OFDM) systems. The proposed scheme offers the benefits of orthogonal matching pursuit (OMP) and subspace pursuit (SP) estimation methods combined with an inter-carrier interference (ICI) cancellation process. The proposed CS based channel estimation scheme, referred to as the hybrid pursuit (HP) based channel estimation method, operates in an iterative, decision-directed fashion. Here, in each iteration, once the channel is estimated, data symbols are detected and used to calculate the estimate of ICI, caused by the Doppler spread. After that, the ICI term is subtracted from the received signals. The whole process is then repeated, iteratively. The simulation results assess the performance gains achieved by the proposed scheme over the best known channel estimation methods.