《Radar Emitter Identification based on CNN》是一种基于卷积神经网络(CNN)的雷达信号识别方法。该方法利用CNN对雷达信号进行特征学习和识别,实现对雷达发射源的准确识别。通过对雷达信号数据集进行训练,CNN可以学习到不同雷达发射源的特征,从而实现对不同类型雷达信号的分类和识别。这种方法在雷达信号处理和目标识别...
radar signals. More specifically, in this work we show that a CNN-layer only autoencoder architecture can be utilized to improve the accuracy of a radar altimeter's ranging estimate even in severe interference environments consisting of a multitude of interference signals. This is demonstrated ...
在本文中,我们提出了一个新的RAMP-CNN模型 雷达目标识别,通过输入三维雷达立方体序列,可以获得每一帧目标的位置(距离和方位角)和类别。RAMP- CNN模型充分利用了一帧中信号背后的时间信息,以及帧间空间信息的变化,使其比之前的工作取得了显著的性能改进。在未来的工作中,我们将继续探索如何有效利用雷达数据,并基于雷达...
In this work, we created a setup to capture the body movements during various exercises by an mmwave radar. The radar data was processed and passed onto a deep CNN for training. Post-training results show that the system is able to classify different exercises in real-time with very high ...
MISSING Malaysia Airlines Flight MH370 flew around Indonesian airspace after vanishing from Malaysian military radar, CNN quoted an unnamed senior Malaysian official as saying today. The Boeing 777 jetliner might have intentionally taken a route designed to avoid radar detection, the official told the...
Then, we cascade convolutional neural networks (CNNs) and the LW-CT to construct a one-dimensional-CNN-Transformer(1D-CNN-Transformer) lightweight neural network model that can capture the long-range dependencies of radar emitter signals and extract signal spatial domain features meanwhile. In ...
UR-CNN / URCNN (Cavok Air) - Aircraft info, flight history, flight schedule and flight playback
This example shows how to classify LPI radar waveforms using a time-frequency CNN. The network accepts a baseband-sampled received radar waveform as input, and outputs the identified class of the waveform (waveform's modulation scheme). The time-frequency CNN used in this example has hidden laye...
First, the airborne radar model is established to obtain the radar space-time echo dataset, and then, the trained CNN is used to extract the features of the radar space-time echo data. The designed CNN can automatically learn the different features between the target and the clutter and give...
radar object detection; millimeter-wave radar; transformer; CNN Graphical Abstract 1. Introduction In recent years, advanced driver assistance systems (ADASs) have evolved rapidly due to the increasing demands for enhanced long-term stability and safety in smart transportation systems. Multi-sensor ...