RADAR-TRACKING OBJECTS SEQUENTIAL RECOGNITION ALGORITHM, PROVIDING MINIMIZATION AVERAGE RISK OF ACCEPTED DECISIONS by A. S. Khramiankou, S. N. Yarmolik

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Combined Activity Recognition Based on Continuous-Wave Radar and Vision Transformer by Junhao Zhou, Chao Sun, Youngok Kim

“…Our approach hinges on the micro-Doppler features derived from continuous-wave radar signals. We first process the human-generated radar echo signals to produce micro-Doppler spectrogram images. …”
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A Novel Over-The-Air Measurement Method for Linear Frequency Modulation Signals Using Continuous Wave Receiver by Sungpil Cheon, Byungkwan Kim

“…Experimental results demonstrated high accuracy, achieving average measurement errors of 3.43%, 2.23% and 1.35% for three different radars under test (RUT). …”
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Initial Values Determination of Thrust Parameters for Continuously Low-Thrust Maneuvering Spacecraft by Wen Guo, Xuefeng Tao, Min Hu, Wen Xue

“…We propose a rapid method for pre-identifying thrust acceleration based on single-arc orbit determination in order to determine the orbit of non-cooperative continuous low-thrust maneuvering spacecraft. The single-arc orbit determination results of two ground-based radar observations with a certain time interval are used to inversely determine the direction and magnitude of acceleration of the spacecraft under continuous thrust based on their relationship with satellite orbit parameters. …”
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Point‐convolution‐based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple‐input multiple‐output radar by Jinxiao Zhong, Liangnian Jin, Ran Wang

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A few-shot learning-based dual-input neural network for complex spectrogram recognition system with millimeter-wave radar by Kaiyu Chen, Shaoxi Wang, Wei Li, Yucheng Wang, Cunqian Feng, Yannian Zhou, Jian Cao, Binfeng Zong, Minming Gu

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High-Resolution Localization Using Distributed MIMO FMCW Radars by Huijea Park, Seungsu Chung, Jaehyun Park, Yang Huang

“…Due to its fast processing time and robustness against harsh environmental conditions, the frequency modulated continuous waveform (FMCW) multiple-input multiple-output (MIMO) radar is widely used for target localization. …”
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Sparse DOA Estimation Method Based on Riemann Averaging under Strong Intermittent Jamming by Xiaoyu LAN, Jiyan HU, Mingshen LIANG, Shuang MA

“…Aiming to address the problem of increased radar jamming in complex electromagnetic environments and the difficulty of accurately estimating the target signal close to a strong jamming signal, this paper proposes a sparse Direction of Arrival (DOA) estimation method based on Riemann averaging under strong intermittent jamming. …”
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The analysis quality technique of the sequential recognition device of radar-tracking objects by A. S. Khramenkov, S. N. Yarmolik, A. S. Solonar

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Strobing of Radar Marks for Trajectory Filtration in a Body-Fixed Frame by Konstantin K. Vasiliev, Alexey V. Mattis, Oleg V. Saverkin

“…The accuracy of filtering trajectory parameters is largely determined by the reliability of radar information. This has also required an enhanced role for strobe algorithms and the need to increase the effectiveness of strobe radar marks.Aim. …”
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Application of QVP Method to Winter Precipitation Observation Based on Polarimetric Radar by Guan Li, Dai Jianhua, Tao Lan, Yin Chunguang, Meng Fanwang

“…The QVP method involves azimuthal averaging of radar reflectivity factor at horizontal polarization(ZH), differential reflectivity(ZDR) and the copular correlation coefficient (ρhv) at high antenna elevation, presenting QVPs in a height-time format. …”
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Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition by Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille

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Radar Echo Characteristics and Recognition of Warm-sector Torrential Rain in Sichuan Basin by Luo Hui, Xiao Dixiang, Kuang Qiuming, Qing Quan, Kang Lan

“…Based on data of real-time precipitation and weather radar during 28 torrential rain events in warm regions of Sichuan Basin, radar echo characteristics of torrential rain in early and mature stages are analyzed. …”
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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar by Zisheng Li, Ken Chen, Yaoqin Xie

“…We rigorously evaluated our method with an experimentally acquired data set which contains sleeping radar sequences from 16 volunteers. We report a classification accuracy of 82.74% on average, which outperforms the state-of-the-art methods.…”
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Impact of Cloud Microphysics Initialization Using Satellite and Radar Data on CMA-MESO Forecasts by Lijuan Zhu, Yuan Jiang, Jiandong Gong, Dan Wang

“…An analysis of the catastrophic rainfall event in Henan on 20 July 2021, and a 92-day continuous experiment (May–July 2024) revealed that assimilating cloud microphysical variables significantly improved precipitation forecasting: the equitable threat scores (ETSs) for 1 h forecasts of light, moderate, and heavy rain increased from 0.083, 0.043, and 0.007 to 0.41, 0.36, and 0.217, respectively, with average hourly ETS improvements of 21–71% for 2–6 h forecasts and increases in ETSs for light, moderate, and heavy rain of 7.5%, 9.8%, and 24.9% at 7–12 h, with limited improvement beyond 12 h. …”
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Distance and Angle Insensitive Radar-Based Multi-Human Posture Recognition Using Deep Learning by Sohaib Abdullah, Shahzad Ahmed, Chanwoo Choi, Sung Ho Cho

“…Recognizing posture through frequency-modulated continuous wave (FMCW) radar poses a significant challenge as the human subject is static. …”
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A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar by Jan Schoepfel, Tobias T. Braun, Julia Hellwig, Holger Rucker, Nils Pohl

“…A promising solution to the interferences is orthogonal frequency division multiplex (OFDM) radar. Due to the complex modulation scheme, the analog front end, especially the power amplifier in the transmitter, has to deal with a high peak-to-average power ratio. …”
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Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study by Chun-Chih Chiu, Wen-Te Liu, Jiunn-Horng Kang, Chun-Chao Chen, Yu-Hsuan Ho, Yu-Wen Huang, Zong-Lin Tsai, Rachel Chien, Ying-Ying Chen, Yen-Ling Chen, Nai-Wen Chang, Hung-Wen Lu, Kang-Yun Lee, Arnab Majumdar, Shu-Han Liao, Ju-Chi Liu, Cheng-Yu Tsai

“…Methods: Background details, 2D-echo parameters, and biochemical data were collected from patients in a cardiology ward in northern Taiwan. Their radar-based respiratory patterns from the night before and the night of the 2D-echo were obtained, averaged, and used to derive indices such as the respiratory disturbance index (RDI) and periodic breathing (PB) cycle length, representing overall respiratory patterns. …”
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Design and Optimization of a Fan-Out Wafer-Level Packaging- Based Integrated Passive Device Structure for FMCW Radar Applications by Jiajie Yang, Lixin Xu, Ke Yang

“…This paper presents an integrated passive device (IPD) structure based on fan-out wafer-level packaging (FOWLP) for the front end of frequency-modulated continuous wave (FMCW) radar systems, focusing on enhancing the integration efficiency and performance of large passive components like antennas. …”
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A Computational Approach to Increasing the Antenna System’s Sensitivity in a Doppler Radar Designed to Detect Human Vital Signs in the UHF-SHF Frequency Ranges by David Vatamanu, Simona Miclaus

“…This enables the subsequent building of a continuous-wave bio-radar Doppler system with controlled and improved sensitivity.…”
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