Results 41 to 50 of about 11,437 (192)

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   +3 more sources

LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt

IEEE Access, 2023
For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at low Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks
Xudong Wang, Guiguang Xu, He Yan, Daiyin Zhu, Ying Wen, Zehu Luo   +5 more
doaj   +1 more source

Transfer learning‐based radar imaging with deep convolutional neural networks for distributed frequency modulated continuous waveform multiple‐input multiple‐output radars

IET Radar, Sonar & Navigation, 2021
Deep‐learning‐based radar imaging is developed with distributed frequency modulated continuous waveform multiple‐input multiple‐output (FMCW MIMO) radars in which a deep‐learning approach based on the convolutional neural network (CNN) is proposed to ...
Jiho Seo, Yunji Yang, Yong‐gi Hong, Jaehyun Park   +3 more
doaj   +1 more source

People tracking by cooperative fusion of RADAR and camera sensors [PDF]

, 2019
Accurate 3D tracking of objects from monocular camera poses challenges due to the loss of depth during projection. Although ranging by RADAR has proven effective in highway environments, people tracking remains beyond the capability of single sensor ...
Dimitrievski, Martin, Jacobs, Lennert, Philips, Wilfried, Veelaert, Peter   +3 more
core   +2 more sources

Online Learning-Based Waveform Selection for Improved Vehicle Recognition in Automotive Radar

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
This paper describes important considerations and challenges associated with online reinforcement-learning based waveform selection for target identification in frequency modulated continuous wave (FMCW) automotive radar systems. We present a novel learning approach based on satisficing Thompson sampling, which quickly identifies a waveform expected to
Thornton, Charles E., Howard, William W., Buehrer, R. Michael   +2 more
openaire   +2 more sources

Adaptive Multi-Function Radar Temporal Behavior Analysis

Remote Sensing
The performance of radar mode recognition has been significantly enhanced by the various architectures of deep learning networks. However, these approaches often rely on supervised learning and are susceptible to overfitting on the same dataset.
Zhenjia Xu, Qingsong Zhou, Zhihui Li, Jialong Qian, Yi Ding, Qinxian Chen, Qiyun Xu   +6 more
doaj   +1 more source

Improving Displacement Measurement for Evaluating Longitudinal Road Profiles [PDF]

, 2018
2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Chaychian, Sara, Hutton-Mckenzie, Angus, Onuorah, Chinedum Anthony, Siau, Johann, Sun, Yichuang   +4 more
core   +2 more sources

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Sea Surface Moving Target Detection Using a Modified Keystone Transform on Wideband Radar Data

Remote Sensing, 2023
The echoes collected by wideband radar systems provide abundant information on target scatterers, which is beneficial to target detection, classification, and recognition.
Jiayun Chang, Xiongjun Fu, Congxia Zhao, Cheng Feng   +3 more
doaj   +1 more source

MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band

Advanced Materials Technologies, EarlyView.
An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi, Jamal Alhourani, Yury Gogotsi, Mohammad H. Zarifi   +3 more
wiley   +1 more source