Coded-Radar for Interference Suppression in Super-Dense Environments (CRUISE-MS3)

Themes: Distributed sensor systems, Radar technology

CRUISE will address the challenges regarding spectrum crowding and ensures proper radar signal detection, accurate ranging, Doppler and azimuth measurements, and object classification in a highly-occupied frequency spectrum

Summary of the Project

Automotive radar sensors are allocated to share limited spectrum from 76 to 81 GHz. As the automotive radar market increases, present automotive radar sensors suffers from radar-to-radar interference between multiple cars. This issue leads to huge performance degradation for detection and tracking of objects, especially that have low radar cross sections such as pedestrians and cyclists. As the fully autonomous system is the future demands from automotive radar sensors, dependability of the sensors are very critical and there is absolutely no room for sensing failures. This project, namely Coded-Radar for Interference Suppression in Super-Dense Environments (CRUISE), addresses the challenges regarding spectrum crowding and ensures proper radar signal detection, accurate ranging, Doppler and azimuth measurements, and object classification in a highly-occupied frequency spectrum.

Our Contribution

CRUISE will investigate hybrid combinations of Phase-Coding (PC) with traditional Frequency Modulated Continuous Wave (FMCW) and develop new waveforms for PC-FMCW MIMO radar to mitigate interference caused by other automotive radars. CRUISE will address the challenges of using PC together with FMCW by proposing new waveforms and processing themes. It is expected that the developed technology will act as an enabler for the introduction of future driving assistance and autonomous driving systems.

Research Questions

  • Find or develop the optimal coding theme which can be applicable to PC-FMCW MIMO radars.
  • Compensation of the spectral spreading of beat-frequency signals in the de-ramping receiver due to signal coding.
  • Design of long codes that have good cross-correlation values approaching the Welch lower bound, as well as fitting a given spectral mask.
  • Investigate and address performance trade-offs involving spreading the frequency spectrum in the IF signal and associated requirements on key performance parameters of the ADCs.

Project data

Researchers: Alexander Yarovoy, Faruk Uysal, Utku Kumbul
Starting date: November 2018
Closing date: April 2023
Sponsor: STW
Partners: NXP
Contact: Faruk Uysal