Radar Congestion Study

Details

• Creators:
  Buller, William ; Wilson, Brian ; Garbarino, Joseph ; Kelly, Jack ; Thelen, Brian ; Belzowski, Bruce M.
• Corporate Creators:
  University of Michigan. Transportation Research Institute
• Corporate Contributors:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• Subject/TRT Terms:
  • In vehicle sensors
  • Radar
  • Active safety systems
  • Radio frequency interference
  • Autonomous vehicles automotive sensors
  • mutual interference
  • active safety
  • RFI
• Publication/ Report Number:
  DOT HS 812 632
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• Abstract:
  This study builds on prior work to characterize the environment in which automotive radars must operate, especially as systems with greater autonomy enter the market. Systems that operate well in environments without other radars may suffer significant degradation of performance in radar-congested environments. The results of this research provide an understanding of the levels of interference expected under different scenarios. This allows us to identify situations that require mitigation of radio frequency interference (RFI). Many techniques have been developed to mitigate RFI and several are discussed in this report. Some mitigation strategies rely on standards practiced by all the transmitters in the environment. This study identifies scenarios that require RFI mitigation and those strategies that require harmonization.
• Content Notes:
  Buller, W., Wilson, B., Garbarino, J., Kelly, J., Subotic, N., Thelen, B., & Belzowski, B. (2018, September). Radar congestion study (Report No. DOT HS 812 632). Washington, DC: National Highway Traffic Safety Administration.
• Format:
  PDF
• Funding:
  DTNH22-14-D-00329L-0006
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/38820/dot_38820_DS1.pdf
• File Type:
  [PDF - 3.98 MB]
• Collection(s):
  Autonomous Vehicles ; NHTSA - Vehicle Safety Research ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:67952ddb655c6d6eda94056af233750474e0ffc7c446e0a86aa291e156ca7cd4227c52844668e091841e0be6e24b4c76fd9550d8bfec15c03fd6816755bedf00