Air Void Detection Using Variational Mode Decomposition with Low Rank

Fok Hing Chi Tivive*, Abdesselam Bouzerdoum, Shivakumar Karekal

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Article number8891762
Pages (from-to)2600-2607
Number of pages8
JournalIEEE Sensors Journal
Volume20
Issue number5
DOIs
Publication statusPublished - 1 Mar 2020

Keywords

  • Stepped-frequency radar
  • air void detection
  • background clutter removal
  • low-rank
  • variational mode decomposition

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