Underwater acoustic channel estimation based on sparse bayesian learning algorithm

HIGHLIGHTS

• who: SHUYANG JIA and colleagues from the Submarine Academy, Qingdao, China have published the paper: Underwater Acoustic Channel Estimation Based on Sparse Bayesian Learning Algorithm, in the Journal: (JOURNAL) of November/24,/2021
• what: This paper discusses the performance and efficiency of channel estimation, and proposes a fast sparse Bayesian learning algorithm for underwater communication_channel estimation.
• how: To guarantee the long-term stable communication of underwater devices this paper proposes the fast sparse Bayesian learning algorithm based on Fast Marginal Likelihood Maximization (FM-SBL) to estimate underwater acoustic channels with low power consumption . . .
  

   

  

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