A new channel estimation method based on GPR and wavelet denosing

In this paper, we propose a new method based on comb-type pilot which combines the Gaussian process regression (GPR) and the wavelet-denoising for channel estimation of orthogonal frequency-division multiplexing (OFDM) system. We use the OFDM receiver to estimate channel state information (CSI) at pilot explicitly and detect/recover the transmitted symbols using the estimated CSI. The initial channel frequency response on the pilot position is obtained by Least Square (LS) algorithm and processed by the wavelet-denoising algorithm which can reduce the influence of noise in the OFDM communication system. Then the frequency at pilot and values of its frequency response are used a training data for the GPR algorithm to get the channel frequency response of whole carrier. The simulation results show that under the multi-path channel circumstance, the new approach significantly reduces the bit error rates (BER) compared to traditional method.