Low complexity RLS channel estimation for SC-FDE in 60 GHz communications

In this paper, we proposed a novel adaptive recursive least square structured frequency-domain channel estimation (RLS-SCE) for single carrier with frequency-domain equalization (SC-FDE) in 60 GHz high-data-rate wireless communications. It is low complexity due to the diagonal matrix inversion operation in frequency-domain and the length of the estimated parameters is as the same as the cyclic prefix (CP) which is far less than the length of data blocks. Moreover, a low complexity interpolation filter is exploited to interpolate the estimated parameters to the final channel frequency response (CFR). We have compared the complexity of our proposed RLS-SCE with that of the least squares(LS) and RLS unstructured channel estimation(UCE) in detail. The simulation results show our proposed RLS-SCE outperforming the LS-UCE and RLS-UCE in both mean square error (MSE) and bit error ratio (BER) performance.