AI를 사용한 레이다

From ADC to AI: A Radar Data Deep Learning Tutorial

Implement a full deep learning workflow for a radar system, including how to process raw ADC data, create a labeled dataset, and train a neural network on radar data.

CBRS Band Radar Parameter Estimation Using YOLOX

Detect radar pulses in noise and estimates the pulse parameters using a combination of time-frequency maps and a deep-learning object detector.

(Deep Learning Toolbox)

Improving Weather Radar Moment Estimation with Convolutional Neural Networks

Train and evaluate convolutional neural networks (CNN) to improve weather radar moment estimation.

LPI Radar Waveform Classification Using Time-Frequency CNN

Train a time-frequency convolutional neural network (CNN) to classify received radar waveforms based on modulation scheme.

Generate Novel Radar Waveforms Using GAN

Generate new radar waveforms using a Wasserstein generative adversarial network with a gradient penalty (WGAN-GP).

Maritime Clutter Suppression with Neural Networks

Train and evaluate a convolutional neural network to remove clutter returns from maritime radar PPI images using the Deep Learning Toolbox™.

SAR Target Classification Using Deep Learning

Create and train a simple convolution neural network to classify SAR targets using deep learning.

Label Radar Signals with Signal Labeler

Label the time and frequency features of pulse radar signals with added noise.

Pedestrian and Bicyclist Classification Using Deep Learning

Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis.

Radar Target Classification Using Machine Learning and Deep Learning

Classify radar returns using machine and deep learning approaches.

Radar and Communications Waveform Classification Using Deep Learning

Classify radar and communications waveforms using the Wigner-Ville distribution (WVD) and a deep convolutional neural network (CNN).

Hand Gesture Classification Using Radar Signals and Deep Learning

Classify ultra-wideband impulse radar signal data using a MISO convolutional neural network.

(Deep Learning Toolbox)

Human Health Monitoring Using Continuous Wave Radar and Deep Learning

Reconstruct electrocardiogram signals using a bidirectional long short-term memory network and wavelet multiresolution analysis.

(Deep Learning Toolbox)

Ship Detection from Sentinel-1 C Band SAR Data Using YOLOX Object Detection

Detect ships from Sentinel-1 C Band SAR Data using YOLOX object detection.

(Image Processing Toolbox)