Oscilloscope-based Solutions for Analyzing Automotive Radar Signals
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Oscilloscope-based Solutions for Analyzing Automotive Radar Signals
© Rohde & Schwarz
AUTHORS
Ezer Bennour is Product Manager for Oscilloscopes at Rohde & Schwarz in Munich (Germany).
Dr. Andreas Ritter is Application Engineer for Oscilloscopes at Rohde & Schwarz in Munich (Germany).
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The large analysis bandwidth of oscilloscopes makes them ideal for characterizing radar sensors, encompassing radar signals and the sensors’ digital interfaces. Signals from multiple radar sensors and their interactions can be distinguished using suitable trigger settings. This allows events such as mutual interference to be displayed in order to find and eliminate their causes, since faultless operation of radar sensors is crucial for applications such as automated driving or automatic braking systems.
CURRENT SITUATION
In times of advanced driver assistance systems and autonomous driving, precise characterization of automotive radar sen sors is becoming increasingly important. Originally purely analog, radar sensors now have numerous digital interfaces and are being integrated into vehicles to
an increasing extent. This makes it necessary to observe RF and digital components simultaneously. Oscillo scopes are a good solution to achieve this purpose as they meet the rising demand for higher analysis bandwidth. Plus, they open new horizons by enab ling phase coherent multichannel and multi domain measurements.
TEST SETUP
Compact radar sensors with long range and high resolution are currently being developed for driver assistance systems and future fully autonomous vehicles. They operate in the frequency band from 76 GHz to 81 GHz and use phased array antennas to obtain location information. If an oscilloscope is used for characteriz ing these sensors, external mixers must be deployed to downconvert the radar signals to the oscilloscope’s frequency range, FIGURE 1. The Intermediate Fre quency (IF) signals from the mixers are fed to the oscilloscope. Deembedd ing functions make it possible to take into account the scattering parameters (S-parameters) of the individual compo nents in the signal path and compensate for losses. The impact of deembedding is illustrated in FIGURE 2. Deembedding corrects the frequency response of the overall signal path, allowing the true signal waveform to be analyzed on the oscilloscope.
FIGURE 1 Test setup for multichannel radar analysis using an oscilloscope. (© Rohde & Schwarz)
MEASURING PHASE AND AMPLITUDE DIFFERENCES WITH MULTICHANNEL ANALYSIS
Most current automotive radars are equipped with multiple transmit and receive antennas (antenna arrays). These determine the antenna directiv ity and enable beamforming and detect ing the direction of targets. As a phase coherent receiver, an oscilloscope can analyze multiple signals relative to each other. Typically, the difference in phase and the difference between the signal spectra are analyzed. The oscilloscope’s Fast Fourier transform (FFT) can be used to determine the amplitude spectra of the individual channels and analyze in det
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