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Harmonics detection in frequency sparse signal

Beata Palczynska, Romuald Masnicki, Janusz Mindykowski
  • Abstract:
    The article shows the possibilities of using the compressive sensing technique to detect harmonics in a frequency sparse signal. Such features characterize signals in the ship s electrical network. A fast algorithm is presented, in which few randomly sampled projections of the input signal are used for its correct reconstruction. The ℓ1-minimization problem in the compressive signal reconstruction is resolved by means of the convex optimization method with thresholding and the additional use of the K-rank-order filter in the signal s sparse domain in order to accelerate the convergence of the solution. The preliminary results of numerical simulation confirm the effectiveness of the algorithm used but also indicate its limitations.
  • Keywords:
  • DOI:
    _unreg_tc19-SEA-2019.49

Event details:

  • IMEKO TC:
    TC19
  • Event name:
    MetroSea 2019
  • Title:

    TC19 International Workshop on Metrology for the Sea

  • Place:
    Genoa, ITALY
  • Time:
    03 October 2019 - 05 October 2019