Per-Cluster-Prediction Based Sparse Channel Estimation for Multicarrier Underwater Acoustic Communications
In this paper, the authors present a sparse channel estimator for Zero-Padded Orthogonal Frequency Division Multiplexing (ZP-OFDM) modulation in clustered sparse UnderWater Acoustic (UWA) channels. The proposed channel estimator consists of two stages. In the first stage, channel prediction from the previous block to the current block is carried out to generate artificial measurements on OFDM subcarriers. One key innovation is to allow different clusters of channel paths to vary individually across the blocks, where the delay, amplitude and phase variations of the clusters are determined based on the channel estimate of the previous block and the measurements on pilot subcarriers of the current block.