J
Jiangang Liu
Researcher at University of Electronic Science and Technology of China
Publications - 16
Citations - 143
Jiangang Liu is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Radar imaging & Radar. The author has an hindex of 8, co-authored 16 publications receiving 120 citations. Previous affiliations of Jiangang Liu include Duke University.
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Journal ArticleDOI
First-Order Multipath Ghosts' Characteristics and Suppression in MIMO Through-Wall Imaging
TL;DR: The distribution characteristics of first-order multipath ghosts in a nested multiple-input-multiple-output (MIMO) through-wall radar are derived and the efficacy of the phase coherence factor (PCF) in ghost suppression is evaluated.
Journal ArticleDOI
Sign-Coherence-Factor-Based Suppression for Grating Lobes in Through-Wall Radar Imaging
TL;DR: The experimental results with a two-transmitting eight-receiving stepped-frequency continuous-wave through-wall radar verifies the excellent performance of the sign coherence factor (SCF), which has comparable performance in suppressing grating lobes with the PCF, much better than the CF.
Journal ArticleDOI
Sidewall Detection Using Multipath in Through-Wall Radar Moving Target Tracking
TL;DR: A new algorithm to determine the position of the sidewalls by exploiting the multipath echoes of a target bounced from the sidewall, which is useful to obtain the building layout, determine the relative location of the target in the room, and remove the higher order multipath ghosts for a through-wall tracking radar.
Journal ArticleDOI
MIMO through-wall radar 3-D imaging of a human body in different postures
TL;DR: A two-dimensional MIMO array and the time-delay compensation algorithm are designed and a human body model with three typical postures in the FDTD simulation is developed, which clearly provides the identifiable posture characteristics.
Proceedings ArticleDOI
Image auto-focusing with multi-layer non-homogeneous wall in through-wall-radar imaging
TL;DR: In this article, the authors proposed an image auto-focusing with the multi-layer and non-homogeneous wall, where one best focusing time-delay is searched in the assumed range to approximately compensate the different propagation time-delays from the anomalous propagations in wall.