SNR estimation based on CNN and LSTM in broadcasting channel

The CNN-LSTM network is employed in the proposed strategy for the estimation of environment SNR in broadcasting channel, where deep features and time dimension features are fused and the optimal layers of both CNN and LSTM are discussed. The proposed scheme can extract the features of broadcasting channel with a higher quality and the accuracy of SNR estimation is greatly improved as a consequence. On this basis, we conduct simulation experiments and verify the effectiveness of the proposed algorithm.