AI for Radar

Labeling of radar signals, simulated radar signals to train machine and deep learning models, target classification, signal classification

You 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

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Improving Weather Radar Moment Estimation with Convolutional Neural Networks

Improving Weather Radar Moment Estimation with Convolutional Neural Networks

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

Since R2024b
Open Live Script

LPI Radar Waveform Classification Using Time-Frequency CNN

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.

Since R2024a
Open Live Script

Generate Novel Radar Waveforms Using GAN

Generate Novel Radar Waveforms Using GAN

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

Since R2024a
Open Live Script

Maritime Clutter Suppression with Neural Networks

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™.

Since R2022b
Open Live Script

SAR Target Classification Using Deep Learning

SAR Target Classification Using Deep Learning

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

Since R2021b
Open Live Script

Label Radar Signals with Signal Labeler

Label Radar Signals with Signal Labeler

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

Since R2021a
Open Live Script

Pedestrian and Bicyclist Classification Using Deep Learning

Pedestrian and Bicyclist Classification Using Deep Learning

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

Since R2021a
Open Live Script

Radar Target Classification Using Machine Learning and Deep Learning

Radar Target Classification Using Machine Learning and Deep Learning

Classify radar returns using machine and deep learning approaches.

Since R2021a
Open Live Script

Radar and Communications Waveform Classification Using Deep Learning

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).

Since R2021a
Open Live Script

Hand Gesture Classification Using Radar Signals and Deep Learning

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

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

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)