数据合成
Simulate radar sensors, generate signals, detections, and tracks, model propagation channels, clutter, target RCS, and micro-Doppler signatures
在不同级别的抽象 - 培训或基于物理的雷达数据中模拟雷达数据。对于更快的模拟,生成概率雷达检测和跟踪以测试跟踪和传感器融合算法。为了获得更高的忠诚度物理模拟,模型传输波形,这些波形在环境中传播,反射目标并在雷达时接收。从概率模型过渡到基于物理的模型。模拟多径传播,混乱,干扰和目标回声。将目标定义为简单的几何形状或复杂的结构,例如步行行人或移动的骑自行车手。模拟在方位角和高程中机械或电子扫描的主动传感器和被动传感器。提取微型多普勒签名以对雷达检测和轨道进行分类。
Functions
Blocks
Backscatter Bicyclist | 骑自行车的人的反向散射信号 |
反向散射的行人 | Backscatter signals from pedestrian |
Barrage Jammer | Barrage jammer interference source |
常数伽马杂乱 | 恒定的伽玛混乱模拟 |
GPU Constant Gamma Clutter | 恒定的伽玛混乱模拟using gpu |
Radar Data Generator | Generate radar sensor detections and tracks |
检测串联 | 结合来自不同传感器的检测报告 |
Two-Ray Channel | 两射线通道环境 |
宽带双线通道 | Wideband two-ray channel environment |
Pulse Waveform Library | Library of pulse waveforms |
Topics
- Clutter Modeling
Reflections from land and sea can overwhelm a target echo. Use these tools to simulate clutter.
- Barrage Jammer
Create jamming signals that can reduce a receiver’s target detection performance.
- Two-Ray Multipath Propagation
A two-ray propagation channel is the next step up in complexity from a free-space channel and is the simplest case of a multipath propagation environment.