Get Started with Radar Toolbox
Radar Toolbox includes algorithms and tools for designing, simulating, analyzing, and testing multifunction radar systems. Reference examples provide a starting point for implementing airborne, ground-based, shipborne, and automotive radar systems. Radar Toolbox supports multiple workflows, including requirements analysis, design, deployment, and field data analysis.
You can perform link budget analysis and evaluate design trade-offs at the radar equation level interactively with the Radar Designer app. The toolbox includes models for transmitters, receivers, propagation channels, targets, jammers, and clutter. You can simulate radars at different levels of abstraction using probabilistic models and I/Q signal level models. You can process detections generated from these models or from data collected from radar systems using the signal and data processing algorithms provided in the toolbox. You can design cognitive radars that operate in crowded RF shared spectrum environments. For automotive applications, the toolbox lets you model radar sensors at the probabilistic and physics-based levels and simulate data, including micro-Doppler signatures and object lists.
For simulation acceleration or rapid prototyping, the toolbox supports C code generation.
- Modeling Radar Detectability Factors
Improve the fidelity of the radar range equation analysis by including a detailed loss budget.
- Modeling the Propagation of Radar Signals
Model RF propagation effects such as free space path loss, atmospheric attenuation due to rain, fog and gas, and multipath propagation due to bounces on the ground.
- Modeling Target Radar Cross Section
Model radar targets with higher levels of fidelity.
- Simulate a Scanning Radar
Simulate detection and tracking with a monostatic radar with different scanning modes for different scenarios.
- Radar Scenario Tutorial
Construct simple scenarios programmatically using the
- Model Platform Motion Using Trajectory Objects
This topic introduces how to use three different trajectory objects to model platform trajectories, and how to choose between them.