Results 61 to 70 of about 1,458 (182)
Micro-Doppler radar classification of humans and animals in an operational environment [PDF]
Abstract A combined Gaussian mixture model and hidden Markov model (HMM) is developed to distinguish between slow moving animal and human targets using mel-cepstrum coefficients. This method is compared to the state-of-the-art in current micro-Doppler classification and an improvement in performance is demonstrated. In the proposed method, a Gaussian
W. D. van Eeden +4 more
openaire +2 more sources
Millimeter-wave (MMW) radar hand gesture recognition technology is becoming important in many electronic device control applications. Currently, most existing approaches utilize the radical and micro-Doppler features from single-channel MMW radar, which ...
Chuan Du +4 more
doaj +1 more source
Enhancing Microrobot Swarm Stability and Adaptation by Autonomous Field‐of‐View Planning
This work presents an adaptive cross‐field‐of‐view navigation strategy for microrobot swarms in large‐scale workspaces by integrating global path planning via A* and local replanning using optimized informed rapidly‐exploring random tree star . The hybrid approach ensures efficient and robust trajectory execution in dynamic environments, enhancing the ...
Zhaowen Su +3 more
wiley +1 more source
Skin‐Like Airflow Odometry for Micro Aerial Vehicles Based on Distributed Thermal Anemometers
A novel bioinspired skin‐like airflow odometry system for micro aerial vehicles employs distributed thermal anemometers to enable motion estimation in GNSS‐denied environments. Computational fluid dynamics simulation validates sensor deployment feasibility, while a transformer‐enhanced gated recurrent unit network extracts high‐precision airflow ...
Weicheng Di +7 more
wiley +1 more source
The linear Doppler effect and angular Doppler effect in vortex electromagnetic wave radar echoes can be used to extract comprehensive micro‐motion parameters.
Hang Yuan +5 more
doaj +1 more source
Classification of Drones Based on Micro-Doppler Radar Signatures Using Dual Radar Sensors
Classification of drones is important due to their increasing popularity and potential threats. The micro-Doppler signatures that depend on the rotation of rotor blades facilitate the classification of drones.
Zhang Pengfei +3 more
doaj +1 more source
ABSTRACT Arthroplasty surgery is a common and successful end‐stage intervention for advanced osteoarthritis. Yet, postoperative outcomes vary significantly among patients, leading to a plethora of measures and associated measurement approaches to monitor patient outcomes. Traditional approaches rely heavily on patient‐reported outcome measures (PROMs),
Janie L. Astephen Wilson +1 more
wiley +1 more source
We exploit the Field Experiment on Sub‐mesoscale Spatio‐Temporal Variability in Lindenberg (FESSTVaL) to compare the performance of an NWP model at sub‐km resolutions with a traditional LES model. Focusing on clear‐sky ABL turbulence (June 14), shallow convective clouds and surface radiation (June 27), and deep convective cold pools (June 29), we find ...
Mirjana Sakradzija +8 more
wiley +1 more source
Human Micro-Doppler Frequency Estimation Approach for Doppler Radar
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
ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley +1 more source

