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Modeling Radar Systems with MATLAB
Modeling Radar Systems with MATLAB
In this course you will design, model and simulate an airborne X-band (8-12 GHz) monostatic phased array radar.
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
Course
Highlights
This two-day course provides a comprehensive introduction to radar system design and modeling with a focus on Radar Toolbox™ and Phased Array System Toolbox™.
Topics include:
- Radar systems engineering for preliminary radar design
- Scenario generation including targets, propagation, and terrain
- System simulation at the measurement and physics (IQ signal) level
- Signal processing for target detection
- Data processing for multi-object tracking
- Higher fidelity modeling including antenna array design, waveform analysis, clutter, polarization, and micro-Doppler signature generation
Who Should
Attend
Radar System Engineers
Course
Prerequisites
Basic radar knowledge and experience using MATLAB®
Course
Benefits
Upon the completion of the course, the participants will be able to:
- Perform rada system engineering for preliminary radar design
- Generate scenarios including targets, propagation, and terrain
- Simulate systems at the measurement and physics (IQ signal) level
- Perform signal processing for target detection
- Perform data processing for adaptive multi-object tracking
- Generate higher fidelity modeling
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
Working with Radar Toolbox
Objective: Understand course themes, including an overview of a radar system model that will be developed at different levels of fidelity as the course progresses.
- Introduction to the products listed above with a focus on Radar Toolbox
- Introduction to a radar design workflow
- Introduction to a search and track radar model, which will serve as the course example
Radar Systems Engineering
Objective: Understand how to use the Radar Designer app to characterize, analyze, and evaluate radar system requirements.
- Evaluate the radar equation and evaluate performance against system-level metrics
- Calculate system gains and losses, transmit power, maximum range, SNR, and other key
radar design parameters - Analyze detection performance over a range of environmental conditions
- Explore signal and data processing engineering trade-offs to ensure requirements are
addressed - Plot SNR vs. range on a stoplight chart
- Generate MATLAB code from app
Radar Scenario Authoring
Objective: Understand how to use Radar Toolbox to create a realistic scenario which can be used to evaluate a preliminary radar system design and to also drive system level simulations.
- Model motion, orientation, and SNR of radar platforms and targets
- Create and record a radar scenario containing platforms and emitters
- Plot ground truth trajectories, object detections, and power levels in a radar scenario
Radar Modeling and Simulation
Objective: Translate a preliminary radar design into a statistical model. Learn to generate detections, clustered detections, and tracks from the model. Implement workflow to move to a signal-level model directly from the statistical model.
- Translate preliminary design into statistical model parameters
- Run statistical model to generate detections and tracks
- Use radar transceiver to move from statistical model to signal-level model
- Validate results between different modeling abstraction levels
Radar Signal and Data Processing
Objective: Generate detections from signal-level simulations. Estimate received signal parameters including direction-of arrival, range, angle, and Doppler response. Configure a multi-object tracker and perform adaptive tracking.
- Radar signal and data processing overview
- Obtain properties of received signals such as matched filter response, stretch processor response, direction of arrival, range, angle, and Doppler response
- Implement a constant false alarm rate (CFAR) detection algorithm
- Create, delete, and manage tracks for multiple objects. Obtain object positions and velocities.
Antenna Array Design
Objective: Design and analyze phased array antennas.
- Generate radiation patterns for linear, planar, and conformal phased array antennas using
Sensor Array Analyzer app - Design arrays using subarray architectures
- Synthesize an array to match a known pattern
- Model transmit and receive signals through antenna array
Spatial Signal Processing
Objective: Integrate beamforming and Direction of Arrival (DOA) estimation to improve desired signal strength and reduce the impact of interference sources. Parameter estimate angle, Doppler
- Model narrowband and wideband beamformers
- Implement direction of arrival estimation
Radar Environment Modeling
Objective: Learn how to extend the fidelity of the signal-level model across the range of radar
system and scenario components.
- Model point targets and backscatter targets with angle dependent RCS
- Model free space, atmospheric and two-ray propagation, clutter, and jammers interferences
- Radar altimeter
Antenna Patterns and Mutual Coupling
Objective: Learn how to generate antenna patterns and model mutual coupling in an array.
- Generate antenna patterns using Antenna Designer app and Antenna Array Designer app
- Model arrays with custom elements
- Compute mutual coupling in small, medium, and large arrays
Waveform Libraries for Multifunction Radar
Objective: Select waveform parameters and build an agile waveform library.
- Use Pulse Waveform Analyzer app to design radar waveforms
- Build library of waveforms which can be used in a multifunction radar
- Implement PRF, frequency, and beam steering agile models
