HIGH-RESOLUTION THROUGH-WALL IMAGING USING DATA FUSION AND REASONING

Zihan Chen, Xiaolu Zeng, Xiaopeng Yang, Jiarong Zhao, Junbo Gong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Through-wall radar has been very pertinent to a variety of civilian and military services because of its ability to detect and sense through the wall obstacles. However, to maintain the penetrating ability, most of the existing TWR systems work at L/S band with limited bandwidth and thus can only generate a very crude blob of the target, whose resolution is not easy-to-use for many practical applications. To address this issue, this paper proposes a novel high resolution TWR imaging system by deep learning-based data fusion and reasoning techniques. First, we devise an image-reasoning module by fusing TWR and optical images with generative adversarial networks. Then, in the online phase, the low-resolution TWR image is fed into the image-reasoning module for resolution improvement. Extensive simulations and experiments demonstrate that the proposed method can successfully reconstruct the outline of an object rather than just a blob, which greatly eases the end user to interpret and thus facilitating more applications.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8616-8620
Number of pages5
ISBN (Electronic)9798350344851
DOIs
Publication statusPublished - 2024
Event49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Seoul, Korea, Republic of
Duration: 14 Apr 202419 Apr 2024

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period14/04/2419/04/24

Keywords

  • Through-wall radar imaging
  • data fusion and reasoning
  • generative adversarial network
  • outline reconstruction

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