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LI Nian, LIU Jie, YU Junming, et al. Building layout tomography method based on joint multidomain direct wave estimation[J]. Journal of Radars, in press. doi: 10.12000/JR24220
Citation: LI Nian, LIU Jie, YU Junming, et al. Building layout tomography method based on joint multidomain direct wave estimation[J]. Journal of Radars, in press. doi: 10.12000/JR24220
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Building Layout Tomography Method Based on Joint Multidomain Direct Wave Estimation

DOI: 10.12000/JR24220
  • 1.

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

  • 2.

    The 27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou 450047, China

Funds:  The National Natural Science Foundation of China (62401098, 62371110)
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  • Corresponding author: CHEN Jiahui, chenjiahui@uestc.edu.cn
  • Received Date: 2024-11-06
  • Rev Recd Date: 2024-12-23
    • Available Online: 2024-12-25
    Abstract
  • Obtaining internal layout information before entering unfamiliar buildings is crucial for various applications, such as counter-terrorism operations, disaster relief, and surveillance, highlighting its great practical significance and research value. To enable the acquisition of the building layout information, this paper presents a building layout tomography method based on joint multidomain direct wave estimation. First, a linear approximation model is established to map the relationship between the propagation delay of direct wave signals and the layout of the unknown building. Using this model, the distribution characteristics of direct wave and multipath signals in the fast-time, slow-time, and Doppler domains are analyzed in the tomographic imaging mode. A joint multidomain direct wave estimation algorithm is then proposed to achieve the suppression of multipath interference and precise estimation of direct wave signals. Additionally, a projection matrix adaptive correction algebraic reconstruction algorithm with total variation constraints is proposed, which enhances building layout inversion quality under limited data scenarios. Finally, electromagnetic simulation and experimental results demonstrate the effectiveness of the proposed building layout tomography method, with structural similarity indices of 91.2% and 81.7% for the reconstructed results, significantly outperforming existing building layout tomography methods.

     

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