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A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging

Conference Paper


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Abstract


  • In through-the-wall radar imaging, targets behind the wall reflect weak electromagnetic signals that are obscured by the strong returns from exterior wall, rendering the detection and classification of indoor stationary targets very difficult. In this paper, a tensor-based subspace method is proposed for wall clutter mitigation. The radar signals received from the antenna array are transformed into a data tensor. Higher-order singular value decomposition is used to segregate the wall reflections from the target returns. Simulation and experimental results show that the proposed method is effective in removing reflections backscattered from both homogeneous and heterogeneous walls.

Publication Date


  • 2015

Citation


  • F. Hing Chi. Tivive & A. Bouzerdoum, "A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging," in Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015, pp. 2449-2453.

Scopus Eid


  • 2-s2.0-84946034767

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5742&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4721

Has Global Citation Frequency


Start Page


  • 2449

End Page


  • 2453

Place Of Publication


  • United States

Abstract


  • In through-the-wall radar imaging, targets behind the wall reflect weak electromagnetic signals that are obscured by the strong returns from exterior wall, rendering the detection and classification of indoor stationary targets very difficult. In this paper, a tensor-based subspace method is proposed for wall clutter mitigation. The radar signals received from the antenna array are transformed into a data tensor. Higher-order singular value decomposition is used to segregate the wall reflections from the target returns. Simulation and experimental results show that the proposed method is effective in removing reflections backscattered from both homogeneous and heterogeneous walls.

Publication Date


  • 2015

Citation


  • F. Hing Chi. Tivive & A. Bouzerdoum, "A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging," in Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015, pp. 2449-2453.

Scopus Eid


  • 2-s2.0-84946034767

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5742&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4721

Has Global Citation Frequency


Start Page


  • 2449

End Page


  • 2453

Place Of Publication


  • United States