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An improved SVD-based wall clutter mitigation method for through-the-wall radar imaging

Conference Paper


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Abstract


  • This paper presents an improved SVD-based method for wall clutter mitigation in through-the-wall radar

    imaging. The dominant wall singular components are identified from the singular value spectrum. A subspace projection method is then applied to remove the strong wall clutter, residing in the dominant singular components, and separate the target signal from noise. The remaining wall clutter residual, which is mixed with the target signal, is suppressed by segmenting the range profile of the signal residing in the subspace orthogonal to the wall and noise subspaces. A Gaussian mixture is used to model the range profile, and the optimum segmentation threshold is found by minimizing the Bayes error. Experiments results show that the proposed method is more effective at reducing wall clutter

    and preserving the targets than some of the existing wall clutter mitigation methods.

Publication Date


  • 2013

Citation


  • F. Tivive & A. Bouzerdoum, "An improved SVD-based wall clutter mitigation method for through-the-wall radar imaging," in IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013), 2013, pp. 425-429.

Scopus Eid


  • 2-s2.0-84885754677

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2642&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1633

Start Page


  • 425

End Page


  • 429

Abstract


  • This paper presents an improved SVD-based method for wall clutter mitigation in through-the-wall radar

    imaging. The dominant wall singular components are identified from the singular value spectrum. A subspace projection method is then applied to remove the strong wall clutter, residing in the dominant singular components, and separate the target signal from noise. The remaining wall clutter residual, which is mixed with the target signal, is suppressed by segmenting the range profile of the signal residing in the subspace orthogonal to the wall and noise subspaces. A Gaussian mixture is used to model the range profile, and the optimum segmentation threshold is found by minimizing the Bayes error. Experiments results show that the proposed method is more effective at reducing wall clutter

    and preserving the targets than some of the existing wall clutter mitigation methods.

Publication Date


  • 2013

Citation


  • F. Tivive & A. Bouzerdoum, "An improved SVD-based wall clutter mitigation method for through-the-wall radar imaging," in IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013), 2013, pp. 425-429.

Scopus Eid


  • 2-s2.0-84885754677

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2642&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1633

Start Page


  • 425

End Page


  • 429