Turbo equalization based on compressive sensing channel estimation in wideband HF systems

In this paper, we propose a novel Turbo equalization algorithm based on compressive sensing (CS) sparse channel estimation in wideband high frequency (HF) systems. Taking full advantage of the time-domain-sparsity of the wideband-HF channel, orthogonal frequency division multiplexing (OFDM) sparse channel estimation based on compressive sensing (CS) effectively reduce the number of pilots to estimate the wideband-HF channel. Besides, the novel algorithm resists the intersymbol interference (ISI) and the inter-carrier interference (ICI) by taking Turbo equalization. Simulation has shown that the proposed algorithm significantly improves the system performance, comparing with the normal Minimum Mean-Square-Error (MMSE) equalizer based on the Least Square (LS) channel estimation.