Results 51 to 60 of about 125,732 (287)
Performances of multitones for ultra-wideband software-defined radar [PDF]
, 2017 From the literature review, it is apparent that there is a gap in quantifying the performances of multitone waveforms specifically for radar applications and experimental results are not commonly found.
Le Kernec, Julien, Romain, Olivier
core +2 more sources
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
Advanced Materials, EarlyView.In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
Concealed Object Detection and Recognition System Based on Millimeter Wave FMCW Radar
Applied Sciences, 2021 At present, millimeter wave radar imaging technology has become a recognized human security solution in the field. The millimeter wave radar imaging system can be used to detect a concealed object; multiple-input multiple-output radar antennas and ...
Jie Liu +5 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.An LCD‐compatible complementary liquid‐crystal metasurface delivers dual‐band, dual‐polarized Ka‐band wavefront control with millisecond switching via a 10‐µm LC gap. Interlaced patch/slot pairs enable independent phase tuning at 28 and 38 GHz, while strategic 45° slot rotation suppresses parasitic resonances. Measurements on a 160 × 160‐cell prototype
Daehyeon Kim +4 more
wiley +1 more source
Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
IEEE Access, 2019 Feature representation based on the high resolution range profile (HRRP) is the key technology in radar automatic target recognition(RATR). In this paper, we design a deep-u-blind denoising network(DUBDNet) to extract features with high-noise-stability ...
Chenkai Zhao +4 more
doaj +1 more source
Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments
Leida xuebao, 2020 With the application of deep learning technology in the radar target recognition field, the automatic extraction of the target feature greatly improves the accuracy and robustness of the recognition, but its robustness in noisy environments needs to be ...
Weijie LI +3 more
doaj +1 more source
Adaptive detection of a signal known only to lie on a line in a known subspace, when primary and secondary data are partially homogeneous [PDF]
, 2006 This paper deals with the problem of detecting a signal, known only to lie on a line in a subspace, in the presence of unknown noise, using multiple snapshots in the primary data.
Besson, Olivier +2 more
core +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Noise Radar Waveform Design Using Evolutionary Algorithms and Negentropy Constraint
Remote SensingIn recent years, several advantages of noise radars have positioned this technology as a promising alternative to conventional radar technology. Immunity to jamming, low mutual interference, and low probability of interception are good examples of these ...
Afonso L. Sénica +2 more
doaj +1 more source
IEEE Access, 2019 Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE) and deep convolutional neural network (DCNN) is
Zhiyu Qu +3 more
doaj +1 more source