AI for Radar
R2026bYou can label radar signals using the Signal Labeler app. Augment datasets by simulating radar waveforms and echos for objects with simple geometries such as cylinders and cones. Simulate micro-Doppler signatures of animated objects such as helicopters, pedestrians and bicyclists. Train machine learning and deep learning networks to classify targets and signals.
Featured Examples
Novel Drone and Bird Micro-Doppler Dataset for Pattern Discovery and Machine Learning
Explore a novel dataset that captures the micro-Doppler signatures of five drones and five birds, each with two different frequency modulated continuous wave (FMCW) radars.
CBRS Band Radar Detection in 5G Signals and Noise Using YOLOX
Detect rectangular and linear-FM radar pulse waveforms embedded in a 5G+noise environment using a combination of time-frequency maps and a deep learning object detector.
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.
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 convolutional neural network (CNN) 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.
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.
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.
