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National Taiwan University of Science and Technology, Taiwan, Province of China

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UPC Broadband Slovakia, Slovakia

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Brno University of Technology, Czech Republic

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Brno University of Technology, Czech Republic

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Institute of Medical Technology and Equipment, Poland

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VSB - Technical University of Ostrava, Czech Republic

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Academy of Sciences of the Czech Republic, Czech Republic

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University of Defence, Czech Republic

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Wroclaw University of Science and Technology, Poland

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Technical University of Radom, Poland

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Technical University of Kosice, Slovakia

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University of Economics in Katowice, Katowice, Poland

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Honeywell International, Czech Republic

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Brno University of Technology, Czech Republic

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Delhi Technological University, India

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Shantou University, China

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VSB - Technical University of Ostrava, Czech Republic

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Tomas Bata University in Zlin, Czech Republic

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Technical University of Cluj Napoca, Romania

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National Research University "MPEI", Russian Federation

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Guanajuato University, Mexico

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University of Pardubice, Czech Republic

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University of West Bohemia in Plzen, Czech Republic

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Technical University of Cluj Napoca, Romania

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Warsaw University of Technology, Poland

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Isfahan University of Technology, Iran, Islamic Republic Of

Mauro Tropea
DIMES Department of University of Calabria, Italy

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Academy of Sciences of the Czech Republic, Czech Republic

Jiri Vodrazka
Czech Technical University in Prague, Czech Republic

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

He Wen
Hunan University, China

Otakar Wilfert
Brno University of Technology, Czech Republic


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Positioning the Adjacent Buried Objects Using UWB Technology Combine with Levenberg Marquardt Algorithm

Nguyen Thi Huyen, Duong Duc Ha, Hiep Thanh Pham

DOI: 10.15598/aeee.v20i1.4355


Abstract

The determination of the buried objects and cracks in building structures is an important issue in real-life. In this paper, we propose a new method called Correlation Function Separation Technique (CFST) combine with the Lervenberg-Marquardt Algorithm (LMA) using the Impulse Radio Ultra-Wide Band (IR-UWB) penetrating system to improve the accuracy in detecting and positioning of the adjacent buried objects in building structures. Based on the UWB signal processing, the proposed method can be used to determine both the relative permittivity of the environment and the position of the buried objects, especially the adjacent objects. The analytical method is validated by mathematical proofs and Matlab simulations, and the position errors are used to assess the performance of proposed method. The numerical results shown that the proposed method can be used for positioning the adjacent buried objects in the homogeneous environment which has an average positioning error of 3.52cm, which is smaller than that of the conventional method based on B-canned radar images processing.

Keywords


Detecting buried object; IR-UWB; Levenberg-Marquardt algorithm; TOA estimation.

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