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Automotive Radar Test Solutions
Multi-target scene emulation
Generate dynamic radar scenes with multiple objects, controlling distance, velocity, and angle to match real-world driving conditions.
Scalable architecture
Adapt test setups from single-target verification to fully populated highway scenarios with a modular, upgradeable system design.
Full Doppler capability
Reproduce realistic relative motion with precise control of target velocity and angle for comprehensive radar behavior testing.
Condition modeling
Model challenging conditions such as rain, fog, or multipath reflections to ensure reliable radar performance in all scenarios.
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Bandwidth
1 GHz to 5 GHz
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Frequency range
76-81 GHz, 6-110 GHz, 89 GHz, 76-77 GHz, 60-90 GHz
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Test types
Radar target simulation, Radar OTA, Radar immunity interference test, Radar receiver test, Radar transmitter and conformance test, Radar transmitter and receiver test, Radar module test
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Targets simulated
1 to 512
Most popular configurations
Radar Target Simulator 76 GHz To 81 GHz
Automotive Radar Transmitter and Conformance Test Solution
Radar Scene Emulator
Services and support
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Ensure your test system performs to specification and meets local and global standards.
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Frequently asked questions
A radar scene emulator is a test system that creates highly realistic radar targets and driving environments in a controlled laboratory or proving ground. It allows engineers to evaluate how an autonomous vehicle’s radar sensors detect, track, and classify objects without depending on unpredictable real-world driving. By producing complex scenarios with multiple moving targets, different speeds, and varying distances, these systems provide a safe, repeatable, and efficient way to confirm radar sensor performance.
Radar scene emulation makes it possible to test unusual or hazardous situations that are hard to reproduce on public roads, such as sudden pedestrian crossings or vehicles approaching quickly from blind spots. Validating radar reliability under these conditions builds confidence in automated driving systems and helps improve road safety.
A radar scene emulator electronically generates simulated radar targets that represent objects like cars, bicycles, and pedestrians. Engineers can control each target’s characteristics, including range, speed, angle, and radar cross-section, to create realistic and dynamic traffic conditions. Many systems can handle multiple targets at different angles, enabling the recreation of dense traffic situations.
The emulator connects directly to the radar sensor being tested and provides immediate feedback on how it perceives the environment. Engineers can tune scenarios to measure detection range, tracking accuracy, false alarm filtering, and sensor performance under varying weather or interference conditions.
Radar scene emulators provide consistency, safety, and efficiency that traditional road testing cannot deliver. Engineers can recreate challenging scenarios such as sudden obstacles, merging vehicles, or limited-visibility events repeatedly and without risk to people or property. Controlled testing minimizes the need to accumulate extensive road miles, saving time and reducing operational costs.
These systems also allow for evaluation in conditions that are unsafe or difficult to reproduce in the real world, such as crowded multi-target situations or rapidly changing traffic patterns. This capability helps identify radar sensor limitations earlier in the development cycle, speeding up design improvements and overall validation.
Radar scene emulators are used throughout the autonomous vehicle development process. During early design, they allow teams to test new sensor architectures and algorithms before full vehicle integration. During validation, engineers can confirm that object detection and tracking systems meet performance goals across a wide range of driving scenarios.
In later stages, emulators support regression testing by running identical scenarios after software updates or hardware changes to ensure consistent sensor behavior. This repeatability improves confidence in the readiness of radar systems for real-world deployment.