AIMC Topic: Radar

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A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models.

Computational intelligence and neuroscience Jun 2, 2021
In the field of electronic countermeasure, the recognition of radar signals is extremely important. This paper uses GNU Radio and Universal Software Radio Peripherals to generate 10 classes of close-to-real multipulse radar signals, namely, Barker, C...
Signal-To-Noise Ratio Radar Deep Learning Signal Processing, Computer-Assisted
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The accuracy and predictability of micro Doppler radar signature projection algorithm measuring functional movement in NCAA athletes.

Gait & posture Jan 26, 2021
BACKGROUND: Development of accessible cost-effective technology to objectively, reliably, and accurately predict musculoskeletal injury risk could aid the effort to prevent chronic pain and disability. Recent work on micro-Doppler radar suggests it m...
Algorithms Reproducibility of Results Humans Machine Learning Radar Athletic Injuries Risk Assessment Adolescent Ultrasonography, Doppler Movement Young Adult Adult Cross-Sectional Studies Biomechanical Phenomena
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Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition.

Sensors (Basel, Switzerland) Jan 7, 2021
The capability of sensors to identify individuals in a specific scenario is a topic of high relevance for sensitive sectors such as public security. A traditional approach involves cameras; however, camera-based surveillance systems lack discretion a...
Humans Radar Neural Networks, Computer Gait Forensic Anthropology Ultrasonography, Doppler
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Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm.

Computational intelligence and neuroscience Nov 12, 2020
The detection performance of high-frequency surface-wave radar (HFSWR) is closely related to the suppression effect of sea clutter. To effectively suppress sea clutter, a sea clutter suppression method based on radial basis function neural network (R...
Algorithms Neural Networks, Computer Radar
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Machine Learning-Based Human Recognition Scheme Using a Doppler Radar Sensor for In-Vehicle Applications.

Sensors (Basel, Switzerland) Oct 30, 2020
In this paper, we propose a Doppler spectrum-based passenger detection scheme for a CW (Continuous Wave) radar sensor in vehicle applications. First, we design two new features, referred to as an 'extended degree of scattering points' and a 'differen...
Signal Processing, Computer-Assisted Ultrasonography, Doppler Radar Motor Vehicles Machine Learning Algorithms Humans
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Millimeter-Wave Array Radar-Based Human Gait Recognition Using Multi-Channel Three-Dimensional Convolutional Neural Network.

Sensors (Basel, Switzerland) Sep 23, 2020
At present, there are two obvious problems in radar-based gait recognition. First, the traditional radar frequency band is difficult to meet the requirements of fine identification with due to its low carrier frequency and limited micro-Doppler resol...
Algorithms Signal Processing, Computer-Assisted Gait Radar Humans Neural Networks, Computer
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A Radar Signal Recognition Approach via IIF-Net Deep Learning Models.

Computational intelligence and neuroscience Aug 28, 2020
In the increasingly complex electromagnetic environment of modern battlefields, how to quickly and accurately identify radar signals is a hotspot in the field of electronic countermeasures. In this paper, USRP N210, USRP-LW N210, and other general so...
Neural Networks, Computer Radar Software Deep Learning Signal-To-Noise Ratio
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High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks.

Computational intelligence and neuroscience Jul 18, 2020
Aiming at high-resolution radar target recognition, new convolutional neural networks, namely, Inception-based VGG (IVGG) networks, are proposed to classify and recognize different targets in high range resolution profile (HRRP) and synthetic apertur...
Pattern Recognition, Automated Radar Neural Networks, Computer
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Hybrid SVM-CNN Classification Technique for Human-Vehicle Targets in an Automotive LFMCW Radar.

Sensors (Basel, Switzerland) Jun 21, 2020
Human-vehicle classification is an essential component to avoiding accidents in autonomous driving. The classification technique based on the automotive radar sensor has been paid more attention by related researchers, owing to its robustness to low-...
Algorithms Support Vector Machine Pedestrians Accidents, Traffic Humans Radar Neural Networks, Computer Motor Vehicles
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Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review.

Sensors (Basel, Switzerland) May 16, 2020
Attention to the natural environment is equivalent to observing the space in which we live. Plant roots, which are important organs of plants, require our close attention. The method of detecting root system without damaging plants has gradually beco...
Radar Plant Roots Plants Machine Learning Algorithms
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