Automotive Radar
Use radarDataGenerator
to generate probabilistic radar detections, clusters
and tracks that include multipath effects. Use radarTransceiver
to model radar hardware and specify antenna patterns,
transmitted FMCW and MFSK waveforms, signal and data processing chains. Simulate
micro-Doppler signatures of pedestrians and bicyclists. Train neural networks to
classify objects detected by the radar (Deep Learning Toolbox™).
Featured Examples
Grid-Based Tracking in Urban Environments Using Multiple Radars
Track moving objects with multiple high-resolution radars using a grid-based tracker to enable fusion of data from high-resolution sensors such as radars and lidars.
- Since R2024a
- Open Live Script
Simulate an Automotive 4D Imaging MIMO Radar
Simulate a 4-D imaging MIMO radar for automotive applications using a
radarTransceiver
.
- Since R2023a
- Open Live Script
Simulate and Mitigate FMCW Interference Between Automotive Radars
Simulate missed and ghost detections caused by interference between two FMCW automotive radars in a highway scenario.
- Since R2022b
- Open Live Script
Design and Simulate an FMCW Long-Range Radar (LRR)
Create a radarDataGenerator
object from a radar design exported
from the Radar Designer app.
- Since R2022a
- Open Live Script
Simulate Radar Ghosts Due to Multipath Return
Simulate ghost target detections and tracks due to multipath reflections with both a statistical radar model and a transceiver model that generates I/Q signals.
- Since R2021a
- Open Live Script
Highway Vehicle Tracking with Multipath Radar Reflections
Demonstrate the challenges associated with tracking vehicles on a highway in the presence of multipath radar reflections.
- Since R2021a
- Open Live Script
Radar Signal Simulation and Processing for Automated Driving
Model the hardware, signal processing, and propagation environment of an automotive radar.
- Since R2021a
- Open Live Script
Track-to-Track Fusion for Automotive Safety Applications
Fuse tracks from two vehicles to estimate of the environment.
- Since R2021a
- Open Live Script
Pedestrian and Bicyclist Classification Using Deep Learning
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis.
- Since R2021a
- Open Live Script
Track-to-Track Fusion for Automotive Safety Applications in Simulink
Fuse tracks from two vehicles to estimate of the environment in Simulink®.
- Since R2021a
- Open Model
Automotive Adaptive Cruise Control Using FMCW Technology
Model an automotive adaptive cruise control system using frequency modulated continuous wave techniques.
- Since R2021a
- Open Live Script
Automotive Adaptive Cruise Control Using FMCW and MFSK Technology
Model an automotive radar in Simulink that includes adaptive cruise control.
- Since R2021a
- Open Script
Increasing Angular Resolution with Virtual Arrays
Form virtual arrays in MIMO radars to increase angular resolution.
- Since R2021a
- Open Live Script
Patch Antenna Array for FMCW Radar
Model a 77 GHz 2x4 antenna array for Frequency-Modulated Continuous-Wave (FMCW) radar applications.
- Since R2021a
- Open Script
Simultaneous Range and Speed Estimation Using MFSK Waveform
Compare triangle sweep frequency-modulated continuous (FMCW) and multiple frequency-shift keying (MFSK) waveforms.
- Since R2021a
- Open Live Script
Extended Target Tracking with Multipath Radar Reflections in Simulink
Model and mitigate multipath radar reflections in a highway driving scenario in Simulink similarly to the Highway Vehicle Tracking with Multipath Radar Reflections MATLAB® example.
- Since R2021b
- Open Live Script
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