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Air Void Detection Using Variational Mode Decomposition With Low Rank

Journal Article


Abstract


  • This paper presents an air-void detection technique for air-coupled radar, which emits electromagnetic waves to interrogate an air-void inside a medium or between two media. The reflections from the air-medium interfaces are usually corrupted by air-coupling, antenna ringing, and internal reflections, rendering air-void detection very difficult or, in certain cases, impossible. The proposed method exploits the low-rank structure of the background clutter to suppress these nuisance signals. A variational mode decomposition model is developed to extract the backscattering at different air-medium interfaces as signal modes. Real experiments are conducted using a stepped frequency radar. The experimental results show that the proposed method can detect air-gap between two sand blocks.

Publication Date


  • 2020

Citation


  • F. Tivive , A. Bouzerdoum & S. Karekal, "Air Void Detection Using Variational Mode Decomposition With Low Rank," IEEE Sensors Journal, vol. 20, (5) pp. 2600-2607, 2020.

Number Of Pages


  • 7

Start Page


  • 2600

End Page


  • 2607

Volume


  • 20

Issue


  • 5

Place Of Publication


  • United States

Abstract


  • This paper presents an air-void detection technique for air-coupled radar, which emits electromagnetic waves to interrogate an air-void inside a medium or between two media. The reflections from the air-medium interfaces are usually corrupted by air-coupling, antenna ringing, and internal reflections, rendering air-void detection very difficult or, in certain cases, impossible. The proposed method exploits the low-rank structure of the background clutter to suppress these nuisance signals. A variational mode decomposition model is developed to extract the backscattering at different air-medium interfaces as signal modes. Real experiments are conducted using a stepped frequency radar. The experimental results show that the proposed method can detect air-gap between two sand blocks.

Publication Date


  • 2020

Citation


  • F. Tivive , A. Bouzerdoum & S. Karekal, "Air Void Detection Using Variational Mode Decomposition With Low Rank," IEEE Sensors Journal, vol. 20, (5) pp. 2600-2607, 2020.

Number Of Pages


  • 7

Start Page


  • 2600

End Page


  • 2607

Volume


  • 20

Issue


  • 5

Place Of Publication


  • United States