Toeplitz-based blind deconvolution of underwater acoustic channels using wideband integrated dictionaries

Research output: Contribution to journalArticle


In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response and the transmitted waveform. The resulting optimization problems are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.


External organisations
  • Harbin Engineering University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Signal Processing


  • ADMM, Blind channel deconvolution, Convex problem, Toeplitz structure, Underwater acoustic
Original languageEnglish
Article number107812
JournalSignal Processing
Publication statusPublished - 2021
Publication categoryResearch