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Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective [PDF]
ICC 2023 - IEEE International Conference on Communications, 2023 The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain. Since the range and velocity, which can be derived from the delay and Doppler shifts, are the parameters of interest for ...
Kecheng Zhang +6 more
semanticscholar +1 more source
International Conference on Human Factors in Computing Systems, 2021 Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for human activity recognition, offering signal richness approaching that of microphones and cameras, but without many of the privacy-invading downsides. However, unlike audio
Karan Ahuja +3 more
semanticscholar +1 more source
Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis [PDF]
IEEE journal of biomedical and health informatics, 2020 The applicability of Doppler radar for gait analysis is investigated by quantitatively comparing the measured biomechanical parameters to those obtained using motion capturing and ground reaction forces.
Ann-Kathrin Seifert +2 more
semanticscholar +1 more source
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users [PDF]
Canadian Conference on Computer and Robot Vision, 2021 Object detection using automotive radars has not been explored with deep learning models in comparison to the camera based approaches. This can be attributed to the lack of public radar datasets.
Ao Zhang, F. Nowruzi, R. Laganière
semanticscholar +1 more source
Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 We consider the problem of range-Doppler imaging using one-bit automotive LFMCW1 or PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver.
Xiaolei Shang, Jian Li, P. Stoica
semanticscholar +1 more source
IET radar, sonar & navigation, 2020 In the past few years, the commercial use of drones has exploded, since they are a safe and cost-effective solution for many kinds of problems. However, this fact also opens the door for malicious use. This work presents a novel system able to detect and
Ignacio Roldan +8 more
semanticscholar +1 more source
Wireless Sleep Apnea Detection Using Continuous Wave Quadrature Doppler Radar
IEEE Sensors Journal, 2020 A non-contact and non-invasive physiological radar monitoring system (PRMS) is introduced. The system is based on motion detection using quadrature microwave Doppler radar, eliminating the need to place sensors on the body.
M. Baboli +4 more
semanticscholar +1 more source
Detection of Micro-Doppler Signals of Drones Using Radar Systems with Different Radar Dwell Times
Drones, 2022 Not any radar dwell time of a drone radar is suitable for detecting micro-Doppler (or jet engine modulation, JEM) produced by the rotating blades in radar signals of drones.
Jiangkun Gong +3 more
semanticscholar +1 more source
A Hybrid CNN–LSTM Network for the Classification of Human Activities Based on Micro-Doppler Radar
IEEE Access, 2020 Many deep learning (DL) models have shown exceptional promise in radar-based human activity recognition (HAR) area. For radar-based HAR, the raw data is generally converted into a 2-D spectrogram by using short-time Fourier transform (STFT).
Jianping Zhu, Haiquan Chen, W. Ye
semanticscholar +1 more source
Wind Farm Wakes from SAR and Doppler Radar
Remote Sensing, 2020 We retrieve atmospheric wake characteristics at the wind farm Westermost Rough from Sentinel-1 Synthetic Aperture Radar (SAR) images. For the first time, co-located reference measurements of the full flow field around the wind farm are available from ...
Tobias Ahsbahs +3 more
semanticscholar +1 more source