Article
Engineering, Electrical & Electronic
Budiman P. A. Rohman, Muhammad Andra, Masahiko Nishimoto
Summary: This article presents a new signal processing method for extracting and enhancing respiration signals from radar mounted on drones. Experimental results show that the method effectively suppresses vibration, enhances respiration signals, and performs well under real-world conditions.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Yang Zhang, Yangyang Ma, Xiao Yu, Pengfei Wang, Hao Lv, Fulai Liang, Zhao Li, Jianqi Wang
Summary: A new coarse-to-fine approach for detecting and locating human targets using SIMO radar under penetration conditions has been proposed. This approach allows for automatic recognition and localization of human subjects without prior information, and has been shown to accurately identify and localize targets in both single and multi-target locating experiments.
SENSORS AND ACTUATORS A-PHYSICAL
(2021)
Article
Chemistry, Analytical
Artit Rittiplang, Pattarapong Phasukkit
Summary: This paper introduces a sparse deconvolution technique with arctangent regularization to extract human positions from noisy signals of through-wall UWB radar, achieving a more accurate detection.
Article
Engineering, Electrical & Electronic
Yongkun Song, Tian Jin, Yongpeng Dai, Xiaolong Zhou
Summary: In this paper, we propose a method called UWB Pose for through-wall human pose reconstruction using UWB MIMO radar. By constructing 3D radar images and designing a lightweight deep learning network, we achieve high-precision pose reconstruction with improved computational efficiency.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2022)
Article
Geochemistry & Geophysics
Xiang Wang, Shisheng Guo, Jiahui Chen, Pengyun Chen, Guolong Cui
Summary: This study proposes a method for human activity recognition using ultrawideband radar, and enhances the fusion of multidomain features using graph convolutional networks, achieving better recognition performance. By extracting features from different domains and constructing a graph, human activities can be classified and recognized.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Information Systems
Thottempudi Pardhu, Vijay Kumar
Summary: The detection of human motion is a focus of researchers and has various applications, but effective monitoring sensors are needed without compromising privacy. Radar models are beneficial for detecting human motion due to their long-range capabilities and ability to work in all weather conditions. This paper proposes a technique for human motion classification using Impulse Radio Ultra Wide Band (IR-UWB) with a wall radar model. The developed framework utilizes Random Multimodal Deep Learning (RMDL) optimized by the proposed Spotted Grey Wolf Optimizer (SGWO) for training. The results show that the SGWO-based RMDL achieved high accuracy, low mean square error (MSE), high true negative rate (TNR), and high true positive rate (TPR).
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Mohamed Saad, Abdelmadjid Maali, Mohamed Salah Azzaz, Mustapha Benssalah
Summary: This paper presents a low-cost ultra-wideband (UWB) radar system that can image through the wall of a human target. The system relies on a Xilinx FPGA Kintex-7 (KC705) board to integrate the main functionalities. By using UWB signals, the radar system achieves better penetration ability and high imaging resolution. An efficient sampling strategy is implemented to achieve high sampling resolution using a low-cost and low-speed ADC. Experimental results show that the proposed radar system can provide accurate 2D imaging for target location determination.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Milan Dzunda, Peter Dzurovcin, Peter Kalavsky, Peter Korba, Zoltan Csefalvay, Michal Hovanec
Summary: The study identified new algorithms for locating the movement of individuals behind obstacles using UWB radar, particularly effective when using multiple radar systems simultaneously to track individuals in aviation security systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Geochemistry & Geophysics
Yanghao Jin, Jianlai Chen, Buge Liang, Degui Yang, Mengdao Xing, Liguo Liu
Summary: This letter studies a deconvolution-technique-based signal processing approach to suppress the ringing phenomenon when the planar bow-tie antenna is used to radiate ultra-wideband signals. The proposed approach improves the signal-to-noise ratio and reduces energy loss without using any hardware loadings on the antenna.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Aerospace
Hongbo Sun, Lek Guan Chia, Sirajudeen Gulam Razul
Summary: This article demonstrates the effectiveness of passive through-wall human sensing technique using opportunistic WiFi signals, showing better detection sensitivity and capability to sense various human motions inside a room, expanding the potential of WiFi passive radar for through-wall sensing applications.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Sedat Dogru, Lino Marques
Summary: Through-wall mapping is a promising emerging field of research with various applications, where radar plays a crucial role. This paper proposes methods to eliminate multipath reflections and build an accurate map of the enclosed environment using radar technology.
IEEE SENSORS JOURNAL
(2021)
Article
Geochemistry & Geophysics
Behzad Yektakhah, Kamal Sarabandi
Summary: Through-the-wall imaging using wideband synthetic aperture radar is a powerful tool that enables seeing through visually opaque walls by providing high-resolution images of objects behind them. This method allows detection of hidden objects, walls, and large flat surfaces, providing a complete map of building interiors for better path planning and threat assessment in rescue and military operations. The approach focuses on discriminating walls and objects with large flat surfaces by considering specular reflections and assuming a known orientation, successfully detecting walls in real scenarios.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Chemistry, Multidisciplinary
Cheng Shi, Zhijie Zheng, Jun Pan, Zhi-Kang Ni, Shengbo Ye, Guangyou Fang
Summary: A detection method for multiple stationary human targets behind wall using convolutional neural network (CNN) in through-wall UWB impulse radar is proposed, which can accurately detect multiple targets behind the wall by combining CNN with other signal processing techniques.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Analytical
Degui Yang, Zhengliang Zhu, Junchao Zhang, Buge Liang
Summary: Through-wall radar is a primary application radar used for non-invasive remote sensing, with high penetration ability and various advantages. This paper focuses on key advances in system design, human detection theory, and signal processing algorithms related to through-wall radar technology.
Article
Computer Science, Information Systems
Gon Woo Kim, Sang Won Lee, Ha Young Son, Kae Won Choi
Summary: In this paper, a human pose estimation algorithm for an impulse radio ultra-wideband (IR-UWB) radar based on the transformer-based deep learning model is proposed. The algorithm, called 3D-TransPOSE, is designed based on the transformer architecture and is able to detect human skeletons with high accuracy from IR-UWB radar signals. The advantage of the IR-UWB radar system in this paper lies in its very low frequency range (0.45 to 3.55 GHz) which is suitable for through-wall detection application, and its novelty in applying the transformer model to the RF-based human pose estimation problem.
