Article
Engineering, Electrical & Electronic
Li Yi, Ryohei Kaname, Ryoko Mizuno, Yihan Li, Masayuki Fujita, Hiroshi Ito, Tadao Nagatsuma
Summary: In this study, a frequency-modulated continuous-wave photonic radar system was proposed for three-dimensional imaging in the THz band. The system achieved high-quality 3D imaging by calibrating the laser source's frequency sweep linearity and introducing the synthetic aperture radar (SAR) technique to overcome the limitations of fixed focal distance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Farzan M. Noori, Md Zia Uddin, Jim Torresen
Summary: This study introduces a novel approach for human activity recognition based on deep learning and non-wearable ultra-wideband radar sensor. By collecting data from subjects and training models, the method demonstrates higher accuracy than traditional approaches and can be applied in practical applications such as human-robot interaction.
Article
Engineering, Electrical & Electronic
Li Xin, Zhou Jing, Yang Zhen, Li Jiayi, Jiang Wenchen
Summary: Using pulsed ultra-wideband (UWB) radar noncontact detection technology, a UWB radar life detection algorithm based on sample entropy (SE) and singular spectrum decomposition (SSD) is proposed to accurately and effectively extract the distance and vital signs information of human targets. Fifteen groups of experiments were conducted, and the results show the algorithm has extensive research value and application prospects.
IEEE SENSORS JOURNAL
(2023)
Article
Automation & Control Systems
HyungGi Jo, Woosub Lee, Euntai Kim
Summary: This article introduces a new deep neural network named MD-PoseNet to tackle the challenging problem of global localization using a monocular camera. Unlike existing methods, MD-PoseNet returns multiple guesses for the camera pose, which are then exploited in the probabilistic framework of particle filters.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Feras Abushakra, Nathan Jeong, Deepak N. Elluru, Abhishek K. Awasthi, Shriniwas Kolpuke, Tuan Luong, Omid Reyhanigalangashi, Drew Taylor, S. Prasad Gogineni
Summary: This letter presents a novel approach to build a compact lightweight unmanned aerial vehicle (UAV) radar for remote sensing applications, exploiting the recent advancement of an automotive radar chip for broadband chirp generation and rapid data processing, and can be used to map vegetation and soil moisture with fine resolution.
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS
(2022)
Article
Multidisciplinary Sciences
Mohammud J. Bocus, Robert Piechocki
Summary: This paper presents a dataset obtained from RF devices for passive tracking of indoor targets and advancing UWB-based human activity recognition. The dataset is significant for the development of algorithms and methodologies in healthcare, smart homes, and security applications.
Article
Computer Science, Information Systems
Omid Reyhanigalangashi, Drew Taylor, Shriniwas Kolpuke, Deepak N. Elluru, Feras Abushakra, Abhishek K. Awasthi, Siva-Prasad Gogineni
Summary: This paper presents the design and development of a digital two-channel chirp synthesizer using an FPGA device. The design was implemented on RF-SoC technology for an integrated solution. A memory-stitching concept was used to overcome timing errors in high-speed design with DACs operating at 6.144 GHz. A prototype was developed to validate the concept by generating a baseband chirp and upconverting it for use as a transmit signal for an ultra-wideband radar.
Article
Optics
Zhiqiang Gao, Cuilian Xu, Xiaoxia Tian, Jiafu Wang, Changhui Tian, Baiyu Yang, Shaobo Qu, Qi Fan
Summary: Optically transparent metamaterials designed and manufactured based on continuous research in single-band stealth technology exhibit high broadband absorption and emissivity, as well as optical transparency at wide angles. The material's ability to be bent expands its potential applications, with experimental results matching theoretical calculations and simulations.
Article
Computer Science, Artificial Intelligence
M. Savadkoohi, T. Oladunni, L. A. Thompson
Summary: The study demonstrates that utilizing deep learning algorithms in conjunction with human balance metrics can more accurately predict fall-risk, with the newly proposed One-One-One Deep Neural Networks algorithm outperforming other algorithms and models in terms of performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Xin An, Jens Wagner, Frank Ellinger
Summary: This paper presents a primary impulse-radio ultra-wideband (IR-UWB) radar system for real-time short-range localization, which has high energy efficiency and precision.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Chemistry, Analytical
Barnabe Carre, Adrien Chopard, Jean-Paul Guillet, Frederic Fauquet, Patrick Mounaix, Pierre Gellie
Summary: This paper presents the development, performance, integration, and implementation of a 150 GHz FMCW radar based on a homodyne harmonic mixing scheme for noncontact, nondestructive testing. The system offers high-dynamic-range measurement capabilities up to 100 dB and measurement rates up to 7.62 kHz. The interesting characteristics of this system make it attractive for imaging applications or contactless sensing. Numerous samples of different materials and geometries were imaged, and new applicative fields such as food industry and pharmaceutical packaging were explored, taking into account the nonionizing capability of the system.
Article
Geochemistry & Geophysics
Xingyu Zhou, Yong Wang, Chunmao Yeh, Xiaofei Lu
Summary: This letter proposes a novel method for the precession parameter estimation and 3-D ISAR imaging of the cone-shaped target. The method solves the target precession parameters through joint processing of measurements from two-aspect radars, and reconstructs the 3-D images of the target based on the estimated precession parameters.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Chemistry, Multidisciplinary
Gatis Gaigals, Romans Maliks, Vladimir Aristov, Rolands Savelis, Janis Simanovics, Eduards Lobanovs, Haralds Egliens, Dans Laksis, Kristaps Maris Greitans, Modris Greitans
Summary: This document presents the results of a study on the methods and tools used in plastic waste sorting systems. The study focuses on the use of a multistatic ultra-wideband impulse radar with a deep learning signal processing back-end. The research introduces the novel use of synthetic data for neural network training and the use of a multistatic radar for improved training data. The main findings of the study demonstrate the accuracy improvement achieved by a multistatic radar configuration and the successful application of an optimized artificial neural network for multistatic radar data processing.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Biomedical
Timo Lauteslager, Mathias Tommer, Tor S. Lande, Timothy G. Constandinou
Summary: This study focused on utilizing radar-on-chip technology for dynamic microwave imaging in the body, successfully locating the femoral artery and imaging the beating heart. Through beamforming, cardiac activity was detected in the body, representing the initial steps towards biomedical dynamic microwave imaging.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Geochemistry & Geophysics
Sonia Joy, Lam H. Nguyen, Trac D. Tran
Summary: The study proposes two algorithms based on sparsity and low-rank estimation to address RFI in UWB SAR, which outperforms traditional methods in experiments. Incorporating the global 2-D structure of SAR data into RFI mitigation leads to the discovery that 2-D algorithms are more effective than 1-D local algorithms, especially in cases of higher noise levels and multiple RFI bands.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)