Radar Toolbox
Design and analyze monostatic, bistatic, and multifunction radar systems
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Radar Toolbox provides algorithms and tools for designing, simulating, analyzing, and testing monostatic, bistatic, and multifunction radar systems. It supports workflows from requirements to field data analysis for airborne, ground-based, shipborne, and automotive applications.
The Radar Designer app enables you to perform interactive link budget analysis and design tradeoffs at the radar equation level. The toolbox provides models for transmitters, receivers, propagation channels, targets, interferers, and clutter in a virtual environment. You can use these models to generate synthetic data in complex RF environments.
Radar Toolbox includes algorithms for processing signals and data collected from hardware. For simulation acceleration or rapid prototyping, the toolbox supports C/C++ code generation.
AI for Radar
Simulate radar signals to train machine learning and deep learning models for target and signal classification. Label radar signals manually or automatically.
Multifunction Radar
Perform closed-loop radar simulation for multifunction radar systems. Model systems that respond to environmental conditions using waveform selection, pulse repetition frequency (PRF) agility, frequency agility, and interference mitigation.
Bistatic Radar
Design non-cooperative bistatic radars, synchronous and asynchronous transmitter and receiver pairs, passive signals, and bistatic propagation paths.
Radar Systems Engineering
Explore designs using the Radar Designer app to evaluate detectability factors, receiver operating characteristics (ROC), and tracker operating characteristics (TOC), and to generate range-angle-height (Blake) charts.
Data Synthesis
Simulate radar data at different levels of abstraction, including the power, measurement, and waveform level.
Environment and Clutter
Model and analyze radar propagation effects, including land and sea clutter; atmospheric attenuation from gas, fog, rain and snow; and lens effect losses. Characterize clutter using sea state and permittivity, as well as land surface properties such as vegetation type and permittivity.
Signal and Data Processing
Create waveform libraries; estimate detection ranges, angles, and Doppler; perform clustering and tracking of detections; and execute search and track operations.
Synthetic Aperture Radar (SAR)
Estimate SAR link budgets for airborne and space applications. Simulate and test image formation algorithms for spotlight and stripmap modes.
Performance Acceleration and Supported Hardware
Speed up simulations with GPU processing and generated C/C++ code. Deploy Simulink models to RFSoC hardware boards (with SoC Blockset).
Product Resources:
“With the help of AI, a lot more can be done. We have found that if more data is not available, then simulated data can also be generated with the help of MATLAB.”
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