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In this paper, we propose a novel pilot-aided channel estimation method for orthogonal frequency-division multiplexing (OFDM) systems where the wireless channel is assumed to be both sparse and time-varying. In the proposed method, we firstly model the time-varying sparse channel as an autoregressive (AR) process. Then, utilizing the time-domain convergence(More)
For non-sample-spaced multipath channels, multi-path energy leakage leads to an increase in the channel sparsity and detection difficulties. In this paper, we propose the sparsity adaptive matching pursuit (SAMP) algorithm for the estimation of non-sample-spaced multipath channels. Compared with other greedy algorithms, the most innovative feature of the(More)
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