Results 61 to 70 of about 1,363 (214)

Multi-target Micro-motion Feature Extraction Based on Tracking Pulses in MIMO Radar

Leida xuebao, 2018
The micro-motion feature is one of the important characteristic information of spatial target recognition. However, the existing multifunctional Multi-Input Multi-Output (MIMO) radar usually has to allocate a large number of continuous time resources for
Luo Ying, Gong Yishuai, Chen Yijun, Zhang Qun   +3 more
doaj   +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

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

A Real-Time Evaluation Algorithm for Noncontact Heart Rate Variability Monitoring

Sensors, 2023
Noncontact vital sign monitoring based on radar has attracted great interest in many fields. Heart Rate Variability (HRV), which measures the fluctuation of heartbeat intervals, has been considered as an important indicator for general health evaluation.
Xiangyu Han, Qian Zhai, Ning Zhang, Xiufeng Zhang, Long He, Min Pan, Bin Zhang, Tao Liu   +7 more
doaj   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Cognitive passive radar system: software defined radio and deep learning approach

The Journal of Engineering, 2019
Cognitive passive radar (CPR) system is amenable to electromagnetic environment cooperating and optimal strategy making tasks on account of illumination source availability and waveform evaluation. In fact, intelligence will provide performance gain from
Qing Wang, Panfei Du, Tongdong Dou, Lirong Gao, Chun Li   +4 more
doaj   +1 more source

An Application of Analytic Wavelet Transform and Convolutional Neural Network for Radar Intrapulse Modulation Recognition

Sensors, 2023
This article analyses the possibility of using the Analytic Wavelet Transform (AWT) and the Convolutional Neural Network (CNN) for the purpose of recognizing the intrapulse modulation of radar signals.
Marta Walenczykowska, Adam Kawalec, Ksawery Krenc   +2 more
doaj   +1 more source

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

Advanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil, Hyung‐Suk Kwon, Bogdan‐Ioan Popa   +2 more
wiley   +1 more source

Radar Signal Recognition Based on Multilayer Perceptron Neural Network [PDF]

, 2023
Low Probability of Intercept (LPI) radars are developed on an advanced architecture by making use of coded waveforms. Detection and classification of radar waveforms are important in many critical applications like electronic warfare, threat to radar and
Subba Rao, K., Chilukuri, Raja Kumari, Kakarla, Hari Kishore   +2 more
core   +2 more sources

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source