J
Jing Li
Researcher at Jilin University
Publications - 83
Citations - 1318
Jing Li is an academic researcher from Jilin University. The author has contributed to research in topics: Radar & Wave equation. The author has an hindex of 16, co-authored 75 publications receiving 914 citations. Previous affiliations of Jing Li include Delaware State University & Ministry of Land and Resources of the People's Republic of China.
Papers
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Through-Wall Detection of Human Being's Movement by UWB Radar
TL;DR: This letter applies the UWB radar system in through-wall human detection and presents the methods based on fast Fourier transform and S transform to detect and identify the human's life characteristic.
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Advanced Signal Processing for Vital Sign Extraction With Applications in UWB Radar Detection of Trapped Victims in Complex Environments
TL;DR: The results demonstrate that the combination of UWB radar as the hardware and advanced signal-processing algorithms as the software has potential for efficient vital sign detection and location in search and rescue for trapped victims in complex environment.
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GPR Signal Denoising and Target Extraction With the CEEMD Method
TL;DR: A time and frequency analysis method based on the complete ensemble empirical mode decomposition (CEEMD) method in ground-penetrating radar (GPR) signal processing demonstrates that CEEMD promises higher spectral-spatial resolution than the other two EMD methods in GPR signal denoising and target extraction.
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Wave-equation dispersion inversion
TL;DR: In this paper, the authors used the resources of the IT Research Computing Group and the Supercomputing Laboratory at KAUST for computational resources required for carrying out this work, and they also provided funding by the CRG grant OCRF-2014-CRG3-2300.
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Improving Target Detection Accuracy Based on Multipolarization MIMO GPR
TL;DR: The results demonstrate that the MIMO GPR system with a multipolarization detection mode can overcome the influence of target radar cross sections and antenna radiation directions, and improve target detection accuracy effectively.