Article
Computer Science, Theory & Methods
Yanlong Qiu, Jiaxi Zhang, Yanjiao Chen, Jin Zhang, Bo Ji
Summary: This paper proposes a practical system called Radar(2) for passive spy radar detection and localization using a single commercial off-the-shelf (COTS) mmWave radar. It can detect and localize spy radars with high accuracy and detection rate.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Engineering, Electrical & Electronic
Eric Klinefelter, Jason Merlo, Hayder Radha, Jeffrey A. Nanzer
Summary: In this work, the exact response of an interferometric correlation radar to a scene with multiple independent point scatterers is derived. An accurate signal model is crucial for predicting and mitigating intermodulation responses generated by nonlinear processing. Both the exact and approximate models are validated through simulation and experimental measurement. The feasibility of these models is demonstrated by showing their accurate representation of the measured or simulated interferometric response.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Engineering, Electrical & Electronic
Marius Pesavento, Minh Trinh-Hoang, Mats Viberg
Summary: The signal processing community is currently witnessing the emergence of sensor array processing and direction-of-arrival (DoA) estimation in various modern applications. This trend is further enhanced by technology leaps and the availability of powerful and affordable multiantenna hardware platforms.
IEEE SIGNAL PROCESSING MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Takeru Ando, Shouhei Kidera
Summary: This study presents a highly accurate range and Doppler-velocity extraction scheme for millimeter-wave short-range sensing. By introducing Doppler velocity and k-space decomposition, the proposed method significantly improves range resolution and reduces computational complexity.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Nakorn Kumchaiseemak, Itthi Chatnuntawech, Surat Teerapittayanon, Palakon Kotchapansompote, Thitikorn Kaewlee, Maytus Piriyajitakonkij, Theerawit Wilaiprasitporn, Supasorn Suwajanakorn
Summary: This study proposes a deep learning-based approach for localizing small moving objects with a single millimeter-wave frequency-modulated continuous-wave radar. By combining classical transforms with neural networks, the method achieves accurate predictions of object locations and improves the performance over state-of-the-art approaches.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Yuming Zeng, Siyi Shen, Zhiwei Xu
Summary: Feature extraction and recognition of underwater targets were studied using a millimeter wave (mmWave) radar. The continuous wavelet transform (CWT) method showed better detection performance, and the mmWave radar accurately detected even weak water surface acoustic wave (WSAW) signals. The experiments demonstrated the potential of mmWave radar for cross-medium detection and recognition of underwater targets.
Article
Chemistry, Analytical
Jia-Jheng Lin, Jiun-In Guo, Vinay Malligere Shivanna, Ssu-Yuan Chang
Summary: This paper proposes a deep learning-based mmWave radar and RGB camera sensor early fusion method for object detection and tracking and its embedded system realization for ADAS applications. The proposed system can be used not only in ADAS systems but also to be applied to smart Road Side Units (RSU) in transportation systems to monitor real-time traffic flow and warn road users of probable dangerous situations. Compared to using an RGB camera alone for object detection and tracking, the early fusion of the mmWave radar and RGB camera technology can make up for the poor performance of the RGB camera when it fails due to bad weather and/or lighting conditions.
Article
Environmental Sciences
Zhangjing Wang, Xianhan Miao, Zhen Huang, Haoran Luo
Summary: The research focuses on improving the environmental perception of automation equipment using autonomous vehicles and unmanned aerial vehicles. A fusion algorithm based on millimeter-wave radar and camera is proposed for detecting and classifying objects in various environments, achieving higher accuracy compared to traditional methods.
Article
Engineering, Multidisciplinary
Zhiyuan Zhang, Zurong Qiu, Wenchuan Hu, Yaohuan Lu, Wenjie Zheng
Summary: A millimeter-wave radar wingtip distance measurement scheme is proposed to meet the requirements of short-range, high-precision, and high-speed measurement of coaxial helicopter wingtip distance. The ranging accuracy of the radar is improved by optimizing the frequency estimation method and the beat-frequency signal processing process. Through simulations and experiments, the feasibility of millimeter wave radar wingtip ranging is verified.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Meiqiu Jiang, Shisheng Guo, Haolan Luo, Yu Yao, Guolong Cui
Summary: This paper presents a novel method for group tracking in crowded indoor situations using millimeter-wave-based extended target tracking. The proposed method includes alpha-extended Kalman filter and group association to estimate target expansion and reflection points. It also employs a density-based spatial clustering approach for target initialization and false target suppression. The method demonstrates continuous and steady tracking results with high counting accuracy in experiments involving fewer than 11 participants.
Article
Engineering, Electrical & Electronic
Stefan Edstaller, Dominik Mueller
Summary: This article introduces a short-range cooperative radar system in the 77-GHz band, utilizing two FMCW radar sensors for estimating target parameters in an incoherent manner. Calibration and a novel interchirp modulation method are employed to improve system accuracy.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2021)
Article
Engineering, Electrical & Electronic
D. K. Kumuda, G. S. Vandana, Bethi Pardhasaradhi, B. S. Raghavendra, Pathipati Srihari, Linga Reddy Cenkeramaddi
Summary: This article presents an experimental evaluation of a 77-GHz IWR1642 radar sensor in the presence of interference. The experimental results demonstrate that the DBSCAN clustering algorithm outperforms the K-means clustering algorithm in various scenarios.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Takeru Ando, Shouhei Kidera
Summary: This paper presents a $k$-space and Doppler velocity decomposition method for accurate target localization in millimeter wave (mmW) radar. The method avoids issues caused by phase uncertainty or the need for highly accurate phase calibration and introduces a new weighted term to handle multiple moving targets. By combining with the weighted kernel density method, multifunctional 3D localization is achieved.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Multidisciplinary
Yael Balal, Afik Yarimi, Nezah Balal
Summary: Falls are the leading cause of accidents among the elderly population. In recent years, radar has been widely employed in fall detection, providing superior sensing capabilities, small dimensions, low cost, non-intrusive sensing, and robustness. This paper presents a technique using low-power millimeter-wave radar to identify when a person is falling in real time, based on micro-Doppler shifts associated with the person's motion. Experimental results show high-resolution and accurate results using 94 GHz real radar data.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Jiun-Hung Yu, Zhen-Hao Yu, Kang-Li Wu, Ta-Sung Lee, Yu T. Su
Summary: This study proposes a low complexity ML-MMSE receiver for mmWave systems, which achieves fast beam pair acquisition and data symbol detection through a hybrid beamforming transceiver architecture. The algorithm can track the best receiving beams and produce data estimates for soft decoding while adapting to dynamic changes in the baseband effective channel.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)