A Novel CT-Mode Through-the-Wall Imaging Method Based on Time Delay Estimation

Through-the-wall (TTW) imaging is an important class of applications with the goal of sensing the environment inside the unknown area. In the computerized tomography (CT)-mode TTW imaging method, the layout of the area is reconstructed with the received signal strength (RSS). However, the multipath...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2021-08, Vol.18 (8), p.1381-1385
Main Authors: Guo, Qichang, Li, Yanlei, Liang, Xingdong, Dong, Jiawei, Cheng, Ruichang
Format: Article
Language:English
Subjects:
Algorithms
Blurring
Compression
Computed tomography
Delay effects
Ghosts
Image reconstruction
Imaging techniques
Layout
Layouts
Longitudinal waves
Medical imaging
Pulse compression
Radar imaging
Received signal strength (RSS)
Receivers
Regularization
Signal processing
Signal strength
through-the-wall (TTW) imaging
time delay
Time lag
Tomography
total variation regularization
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Description
Summary:Through-the-wall (TTW) imaging is an important class of applications with the goal of sensing the environment inside the unknown area. In the computerized tomography (CT)-mode TTW imaging method, the layout of the area is reconstructed with the received signal strength (RSS). However, the multipath included in the RSS is difficult to mitigate, resulting in blurring, wall missing, or ghosts. In this letter, a novel imaging method is proposed. First, the received signal is processed by pulse compression. The multipath signals are separated from the directly transmitted wave (DTW), and then, the time delay of the latter one is easily estimated. Second, an improved total variation regularization algorithm is used to reconstruct the layout by assuming that there are only horizontal and vertical walls in the area. The validity of the proposed method is verified by the experimental results, where a clearer image could be obtained compared with the one generated by the traditional RSS method.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2020.3000423