Radar Toolbox
Design and analyze monostaticbistaticand multifunction radar systems
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Radar Toolbox provides algorithms and tools for designingsimulatinganalyzingand testing monostaticbistaticand multifunction radar systems. It supports workflows from requirements to field data analysis for airborneground-basedshipborneand 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 transmittersreceiverspropagation channelstargetsinterferersand 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 prototypingthe 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.
Multibeam Radar for Adaptive Search and Track
Multifunction Radar
Perform closed-loop radar simulation for multifunction radar systems. Model systems that respond to environmental conditions using waveform selectionpulse repetition frequency (PRF) agilityfrequency agilityand interference mitigation.
Passive Bistatic Radar Performance
Bistatic Radar
Design non-cooperative bistatic radarssynchronous and asynchronous transmitter and receiver pairspassive signalsand bistatic propagation paths.
Radar Designer App
Radar Systems Engineering
Explore designs using the Radar Designer app to evaluate detectability factorsreceiver 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 abstractionincluding the powermeasurementand waveform level.
Radar Coverage in the Presence of Terrain
Environment and Clutter
Model and analyze radar propagation effectsincluding land and sea clutter; atmospheric attenuation from gasfograin and snow; and lens effect losses. Characterize clutter using sea state and permittivityas well as land surface properties such as vegetation type and permittivity.
Radar Screen Display with Multiple Targets
Signal and Data Processing
Create waveform libraries; estimate detection rangesanglesand Doppler; perform clustering and tracking of detections; and execute search and track operations.
Multi-Look Processing Range and Azimuth Direction
Synthetic Aperture Radar (SAR)
Estimate SAR link budgets for airborne and space applications. Simulate and test image formation algorithms for spotlight and stripmap modes.
Algorithm Acceleration and Code Generation
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 AIa lot more can be done. We have found that if more data is not availablethen simulated data can also be generated with the help of MATLAB.”
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Your school may already provide access to MATLABSimulinkand add-on products through a campus-wide license.
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