Abstract

Automotive radar is one of the enabling technologies for advanced driver assistance systems (ADAS) and subsequently fully autonomous vehicles. Along with determining the range and velocity of targets with fairly high resolution, autonomous vehicles navigating complex urban environments need radar sensors with high azimuth and elevation resolution. Size and cost constraints limit the physical number of antennas that can be used to achieve high resolution direction-of-arrival (DoA) estimation. Multiple-input/multiple-output (MIMO) schemes achieve larger virtual arrays using fewer physical antennas than would be needed for a single-input/multiple-output (SIMO) system. This paper presents a high-fidelity physics simulation of a 77GHz, frequency-modulated continuous-waveform (FMCW)-based 128 channel (8 transmitters (T x ), 16 receivers (R x )) MIMO radar sensor. The 77GHz synthetic radar returns from full scale traffic scenes are obtained using a high-fidelity physics, shooting and bouncing ray electromagnetics solver. A fast Fourier transform (FFT) based signal processing scheme is used across slow-time (chirp) and space (channel) to obtain range-Doppler and DoA maps, respectively. Detection and angular separation performance comparisons of 16, 64 and 128 channel MIMO radar sensors are made for two complex driving scenarios.

Highlights

  • Advanced driver assistance systems (ADAS) have turned today’s vehicles into mobile computing and sensing hubs that will autonomously navigate roads as self driving cars

  • In order to test the performance of the MIMO sensor, the post processing algorithms need to be fed with synthetic radar returns obtained from electromagnetics simulations of full scale traffic scenes

  • FULL SCALE TRAFFIC SCENE SIMULATION In order to test the performance of the MIMO sensor in typical traffic scenes, two full-scale scenes were created in High Frequency Structure Simulator (HFSS) SBR+

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Summary

INTRODUCTION

Advanced driver assistance systems (ADAS) have turned today’s vehicles into mobile computing and sensing hubs that will autonomously navigate roads as self driving cars. We present a high-fidelity physics based simulation of a 128 channel MIMO radar sensor for 77 GHz. automotive radar. In order to test the performance of the MIMO sensor, the post processing algorithms need to be fed with synthetic radar returns obtained from electromagnetics simulations of full scale traffic scenes. We demonstrate how synthetic radar returns from a MIMO sensor can be extracted from a high-fidelity physics, full-scale electromagnetic simulation of traffic scenes for 77 GHz radar. U. Chipengo et al.: High Fidelity Physics Simulation of 128 Channel MIMO Sensor for 77GHz Automotive Radar TABLE 1. U. Chipengo et al.: High Fidelity Physics Simulation of 128 Channel MIMO Sensor for 77GHz Automotive Radar FIGURE 9. By only using 16 channels and the FFT scheme used here, it is difficult to differentiate between the peaks corresponding to each plate

FULL SCALE TRAFFIC SCENE SIMULATION
CONCLUSION

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