Radar target simulator enables separation testing of automotive 4D sensor solutions

Radar target simulator enables separation testing of automotive 4D sensor solutions

New Products |
By Christoph Hammerschmidt

High-resolution radar sensors and solutions that are able to precisely and selectively map their environment and provide height, range, and speed information are a key technology for the development of self-driving vehicles.

Development tool expert dSpace is therefore expanding its product family of radar target simulators for testing automotive 4D sensors with a system that enables the precise simulation of two radar targets at high resolution. The new DARTS 9040-GT supports the development of radar systems with the highest separation capability requirements and makes testing easier, more efficient and more economical. 

Validating the separability of ultrahigh-resolution radar systems is currently costly and complex. The dSpace Automotive Radar Test System (DARTS) 9040-GT optimally addresses this test case: It allows two targets to be simulated with high precision and high resolution over an instantaneous bandwidth covering the entire 5 GHz of the automotive E-band. Previously, two DARTS 9040-G had to be arranged in a test setup for this task. The DARTS 9040-GT simulates two targets based on the proven DARTS 9040-G technology. With the DARTS 9040-G, dSpace had set standards in terms of resolution and signal quality for the demanding tests of 4D sensors when it was introduced at the end of 2020.

The DARTS 9040-GT supports separation tests for radar targets arriving from different angles or for targets located at different distances but at the same angle. “Switching between the two tests can be done with a single click, without changing the test setup. Since the separation tests in the distance range make do with a high-frequency front end, they can be presented in a particularly cost-effective way,” explains Dr. Alexander Trapp, Product Manager Radar Solutions at dSpace.

The DARTS 9040-GT will be available for demos and evaluations in January 2023.



Linked Articles