Human Micro-Doppler Frequency Estimation Approach for Doppler Radar
IEEE Access, 2018 Micro-Doppler frequency estimation is an important issue for radar target recognition. In this paper, a novel approach is proposed to accurately estimate the micro-Doppler frequencies of specific target scattering parts, which can be very promising in ...
Yipeng Ding +4 more
doaj +1 more source
Three-Dimensional Imaging Method Incorporating Range Points Migration and Doppler Velocity Estimation for UWB Millimeter-Wave Radar [PDF]
, 2017 High-resolution, short-range sensors that can be applied in optically challenging environments (e.g., in the presence of clouds, fog, and/or dark smog) are in high demand.
Fang Shang +5 more
core +2 more sources
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This work proposes a micro‐Doppler‐assisted particle‐filtering track‐before‐detect (mD‐PF‐TBD) algorithm with a variable‐particle mechanism to robustly track UAVs in passive radar systems, particularly when they enter the Doppler‐blind zone (DBZ). As the target Doppler frequency approaches zero, the algorithm adaptively reallocates particles towards ...
Chenyu Wen +8 more
wiley +1 more source
Parametric Wind Velocity Vector Estimation Method for Single Doppler LIDAR Model [PDF]
, 2017 Doppler lidar (LIght Detection And Ranging) can provide accurate wind velocity vector estimates by processing the time delay and Doppler spectrum of received signals.
Fang SHANG +5 more
core +2 more sources
Characterisation and Classification of Resident Space Objects Using Radar Networks
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper describes a simulated environment for generating Inverse Synthetic Aperture Radar (ISAR) images and interferometric point clouds using a three‐receiver radar configuration, along with the creation of extensive datasets to train and evaluate deep learning models under varying Signal‐to‐Noise Ratio (SNR) conditions. Findings show that modified
Manjunath Thindlu Rudrappa +2 more
wiley +1 more source
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
, 2019 Radar-based road user classification is an important yet still challenging task towards autonomous driving applications. The resolution of conventional automotive radar sensors results in a sparse data representation which is tough to recover by ...
Appenrodt, Nils +3 more
core +1 more source
Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison. [PDF]
PLoS One, 2023 Abou Al Ardat B +5 more
europepmc +1 more source
Remote SensingThe rapid increase in production of small unmanned rotorcrafts (SURs) has made real-time drone surveillance critical for airspace security. Effective SUR detection is essential for maintaining aviation safety, protecting privacy, and ensuring public ...
Yingwei Tian +3 more
doaj +1 more source
Analysis of phase noise influence on micro-Doppler feature extraction of vibrating target
The Journal of Engineering, 2019 It is generally considered that increasing the carrier frequency of radar is an important way to improve the precision of micro-motion measurement. However, the increase of the radar frequency may raise the phase noise intensity of the radar transmitting
Zihao Liu, Bo Peng, Xiang Li
doaj +1 more source
Experimental Verification of Micro-Doppler Radar Measurements of Fall-Risk-Related Gait Differences for Community-Dwelling Elderly Adults. [PDF]
Sensors (Basel), 2022 Saho K +3 more
europepmc +1 more source