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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.

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IMEKO-TC19-METROSEA-2019-49.pdf
DOI
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IMEKO TC
TC19 - Environmental Measurements

Event details

Event
MetroSea 2019
Technical Committee
TC19
Email
info@metrosea.org
Place
Genoa, ITALY
Time
3 October 2019 - 5 October 2019
Website
http://www.metrosea.org

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