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- W4301184420 abstract "Orthogonal time frequency space (OTFS) modulation is a promising candidate to support reliable information transmission in high-mobility wireless communications. In this paper, we consider the channel estimation problem for OTFS in the presence of fractional Doppler. We first propose a statistical channel model based on the hidden Markov model (HMM) to characterize the structured sparsity of the effective delay-Doppler (DD) domain channel. The HMM prior is then incorporated with the unitary approximate message passing (UAMP) algorithm to solve the structured sparse channel estimation problem. Finally, simulation results verify that the proposed algorithm can achieve a significant gain over various state-of-art algorithms." @default.
- W4301184420 created "2022-10-04" @default.
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- W4301184420 date "2022-08-11" @default.
- W4301184420 modified "2023-10-02" @default.
- W4301184420 title "UAMP-Based Channel Estimation for OTFS in the Presence of the Fractional Doppler with HMM Prior" @default.
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- W4301184420 doi "https://doi.org/10.1109/icccworkshops55477.2022.9896709" @default.
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