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Accuracy Analysis and Verification of Ground-Based Radar Differential Interferometry

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3D Imaging—Multidimensional Signal Processing and Deep Learning

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 298))

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Abstract

Ground-based interferometry radar system (GBRI) has progressively become an important means of deformation monitoring in recent years due to its all-weather suitability and high accuracy. Studies on deformation monitoring accuracy have rarely based on signal analysis in the past; hence, detailed radar parameter setting rules need further discussion. This work establishes a theoretical link between the parameters of the front-end radar system and the accuracy index of the topographic surveyor's measurements in practical application. The interferometric phase error plays a decisive role in the final deformation measurement accuracy of the system. From the perspective of signal modeling, a general theoretical equation for performance analysis is given. The equation shows the quantitative relationship between part of the design parameters of radar system and deformation monitoring accuracy. The displacement estimation variance Cramer Rao lower bound (CRLB) is derived and tested by simulation. The applicability of this derivation was demonstrated in a displacement measured approach carried out with echo signals of the corner reflector obtained by a ground-based real aperture radar sensor during a fast continuous observation. The results show that the ground-based radar system can achieve sub-millimeter deformation measurement accuracy.

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Authors and Affiliations

  1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

    Chunming Han, Yunqi Meng, Guangfu Li & Yixing Ding

  2. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

    Chunming Han, Yunqi Meng & Guangfu Li

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  1. Chunming Han
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  2. Yunqi Meng
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  3. Guangfu Li
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  4. Yixing Ding
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Correspondence to Yixing Ding .

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Editors and Affiliations

  1. KES International, Shoreham-by-Sea, UK

    Lakhmi C. Jain

  2. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  3. Yunnan Normal University, Kunming, China

    Yonghang Tai

  4. TK Engineering, Sofia, Bulgaria

    Roumiana Kountcheva

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Han, C., Meng, Y., Li, G., Ding, Y. (2022). Accuracy Analysis and Verification of Ground-Based Radar Differential Interferometry. In: Jain, L.C., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 298. Springer, Singapore. https://doi.org/10.1007/978-981-19-2452-1_23

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