レーダー向け AI
信号ラベラー アプリを使用してレーダー信号にラベルを付けることができます。円柱や円錐などの単純な形状のオブジェクトに対してレーダー波形とエコーをシミュレーションしてデータセットを拡張します。ヘリコプター、歩行者、自転車運転者などのアニメーション オブジェクトのマイクロドップラー シグネチャをシミュレーションします。機械学習ネットワークと深層学習ネットワークに学習させて、ターゲットと信号を分類します。
注目の例
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 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).
レーダー信号と深層学習を使用した手のジェスチャの分類
MISO 畳み込みニューラル ネットワークを使用して、超広帯域インパルス レーダー信号データを分類する。
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.
