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Broadband Communications, Networks, and Systems. 12th EAI International Conference, BROADNETS 2021, Virtual Event, October 28–29, 2021, Proceedings

Research Article

ARTI: One New Adaptive Elliptical Weighting Model Combining with the Tikhonov-ℓp-norm for Image Reconstruction

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  • @INPROCEEDINGS{10.1007/978-3-030-93479-8_14,
        author={Chunhua Zhu and Zhen Shi and Weidong Yang},
        title={ARTI: One New Adaptive Elliptical Weighting Model Combining with the Tikhonov-ℓp-norm for Image Reconstruction},
        proceedings={Broadband Communications, Networks, and Systems. 12th EAI International Conference, BROADNETS 2021, Virtual Event, October 28--29, 2021, Proceedings},
        proceedings_a={BROADNETS},
        year={2022},
        month={1},
        keywords={Device-free localization Radio tomographic imaging Elliptical weighting model ℓ-norm Horizontal distance attenuation},
        doi={10.1007/978-3-030-93479-8_14}
    }
    
  • Chunhua Zhu
    Zhen Shi
    Weidong Yang
    Year: 2022
    ARTI: One New Adaptive Elliptical Weighting Model Combining with the Tikhonov-ℓp-norm for Image Reconstruction
    BROADNETS
    Springer
    DOI: 10.1007/978-3-030-93479-8_14
Chunhua Zhu1,*, Zhen Shi1, Weidong Yang1
  • 1: Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou
*Contact email: zhuchunhua@haut.edu.cn

Abstract

To reconstruct the target-induced attenuation image keeping consistent with the observed measurement data, this paper explores the use of a new horizontal distance attenuation-based elliptical weighting model in building an attenuation image, where a horizontal distance attenuation factor and a vertical distance attenuation factor are introduced, respectively, which is able to clear the difference of the voxel weightings perpendicular to the line-of-sight (LOS) direction, as well as the difference of the voxel weightings parallel to the LOS direction. Compared with the existing model, the proposed model can additively reflect the occlusion effect of the radio frequency signal when the target is close to the transceiver nodes. Besides, the Tikhonov-ℓp-norm regularization is incorporated into the image reconstruction, which makes full use of the sparse ability of theℓp-norm (0 <p< 1) to further reduce the noise interference. The experimental studies on indoor and outdoor scenarios with radio tomographic imaging are presented to validate the effectiveness of the proposed approach.

Keywords
Device-free localization Radio tomographic imaging Elliptical weighting model ℓ-norm Horizontal distance attenuation
Published
2022-01-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-93479-8_14
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