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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2020-02-17
A Real-Time Automatic Method for Target Locating Under Unknown Wall Characteristics in through -Wall Imaging
By
Hua-Mei Zhang,

    Dr. Hua-Mei Zhang

    School of Electronic Science and Engineering

    Nanjing University of Posts and Telecommunications

    China

    Homepage

Sheng Zhou,

    Dr. Sheng Zhou

    College of Electronic Optical Engineering

    Nanjing University of Posts and Telecommunications

    China

    Homepage

Cheng Xu,

    Dr. Cheng Xu

    College of Electronic Optical Engineering

    Nanjing University of Posts and Telecommunications

    China

    Homepage

Ye-Rong Zhang

    Dr. Ye-Rong Zhang

    Nanjing University of Posts and Telecommunications

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 89, 189-197, 2020
doi:10.2528/PIERM19111101 | Google Scholar

Abstract
To solve the real-time through-wall detection problem in the presence of wall ambiguities, an approach based on the kernel extreme learning machine (KELM) is proposed in this paper. The wall ambiguity and propagation effect are included in the single-hidden-layer feedforward networks, and then the technique converts the through-wall problem into a regression problem. The relationship between the scattered data and the target properties is determined after the KELM training process. Numerical results demonstrate the good performance in terms of the effectiveness, generalization, and robustness. Compared with the support vector machine (SVM) and least-squares support vector machine (LS-SVM), the KELM provides almost the same estimated accuracy but at a much faster learning speed, which greatly contributes to solving the real-time detection problem. In addition, the situations of two targets, different target radiuses, and noisy circumstances are discussed.
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Citation
Hua-Mei Zhang, Sheng Zhou, Cheng Xu, and Ye-Rong Zhang, "A Real-Time Automatic Method for Target Locating Under Unknown Wall Characteristics in through -Wall Imaging," Progress In Electromagnetics Research M, Vol. 89, 189-197, 2020.
doi:10.2528/PIERM19111101
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