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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2019-07-02
Subspace Clutter Removal Techniques in GPR Images
By
Mohanad Abd Shehab,

    Dr. Mohanad Abd Shehab

    Electrical Engineering Department, College of Engineering

    Mustansiriyah University

    Iraq

    Homepage

Mohammed Abdulridha Sahib Al Obaidi,

    Dr. Mohammed Abdulridha Sahib Al Obaidi

    Electrical and Electronics Engineering

    Istanbul Aydin University

    Turkey

    Homepage

Ilknur Hos,

    Dr. Ilknur Hos

    Application & Research Center for Advanced Studies

    Istanbul Aydin University Istanbul

    Turkey

    Homepage

Saeid Karamzadeh

    Dr. Saeid Karamzadeh

    Millimeter Wave Technologies, Intelligent Wireless System

    Silicon Austria Labs (SAL)

    Austria

    Homepage

Progress In Electromagnetics Research M, Vol. 82, 139-147, 2019
doi:10.2528/PIERM19032511 | Google Scholar

Abstract
In many modern GPR systems, it is desired to detect the presence of targets in the interference which includes clutter and noise. Detection of water leaks using GPR has been aimed in this work. Pipe and soil are known as the clutter of data in this scenario. Various signal processing techniques like multivariate subspace-based algorithms are proposed to effectively suppress the clutter and increase the signal to interference ratio. Combining Independent Component Analysis (ICA) and Principal Component Analysis (PCA) as a unique algorithm has demonstrated the ability to eliminate the GPR clutter and extract the target signal.
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Citation
Mohanad Abd Shehab, Mohammed Abdulridha Sahib Al Obaidi, Ilknur Hos, and Saeid Karamzadeh, "Subspace Clutter Removal Techniques in GPR Images," Progress In Electromagnetics Research M, Vol. 82, 139-147, 2019.
doi:10.2528/PIERM19032511
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