Full Physics Simulation Study of Guardrail Radar-Returns for 77 GHz Automotive Radar Systems

Radar is one of the primary active safety sensors for advanced driver assistance systems. Autonomous vehicles will heavily rely on the ability of automotive radar systems to accurately identify crucial targets while filtering out false targets. Road guardrails present a unique corner case challenge to automotive radar sensors due to their large radar cross section (RCS) that can lead to false targets alerts. This paper presents a full physics, full-scale electromagnetic simulation-based study on the radar returns of road guardrails. Results from this paper demonstrate how guardrails can obfuscate crucial targets, such as pedestrians and nearby stationary vehicles. A novel guardrail system for high-pedestrian density areas is proposed. Further RCS reduction of this design is achieved through a proposed diffraction mitigation technique. Simulations using this proposed guardrail system predict over 25-dB reduction in guardrail RCS. Results from this paper show that guardrails with low RCS improve the visibility of adjacent stationary targets, and thus have the potential to reduce accidents and possibly save lives.

[1]  M. C. Rezende,et al.  Radar cross section reduction of dihedral and trihedral comer reflectors coated with radar absorbing materials (8-12 GHz) , 2003, Proceedings of the 2003 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference - IMOC 2003. (Cat. No.03TH8678).

[2]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[3]  Ronald Poppe,et al.  Vision-based human motion analysis: An overview , 2007, Comput. Vis. Image Underst..

[4]  Weidong Hu,et al.  Synthetic Aperture Radar Image Modulation Using Phase-Switched Screen , 2018, IEEE Antennas and Wireless Propagation Letters.

[5]  David Johnson,et al.  Radar Sensing for Intelligent Vehicles in Urban Environments , 2015, Sensors.

[6]  Murat Torlak,et al.  Automotive Radars: A review of signal processing techniques , 2017, IEEE Signal Processing Magazine.

[7]  P. Bakker.  Theory of edge diffraction in terms of dynamic ray tracing , 1990 .

[8]  Alan Tennant,et al.  Influence of switching-waveform characteristics on the performance of a single-layer-phase switched screen , 2002 .

[9]  B. Chambers,et al.  A smart radar absorber based on the phase-switched screen , 2005, IEEE Transactions on Antennas and Propagation.

[10]  Janusz Szpytko,et al.  Safety problems in vehicles with adaptive cruise control system , 2017 .

[11]  Xuesong Wang,et al.  High-Resolution Range Profile Deception Method Based on Phase-Switched Screen , 2016, IEEE Antennas and Wireless Propagation Letters.

[12]  Zhong Chen.  Common RF absorbers evaluations in W-band (75-100 GHz) , 2017, 2017 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI).

[13]  T. Zwick,et al.  Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band , 2012, IEEE Transactions on Microwave Theory and Techniques.

[14]  Bongsob Song,et al.  Detection and Tracking of Road Barrier Based on Radar and Vision Sensor Fusion , 2016, J. Sensors.

[15]  Lei Gao,et al.  Active Cancellation Method Against LFM Radar Using Periodic Sequence Phase-Modulation , 2018, 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC).

[16]  C. Christodoulou,et al.  Fundamental Parameters of Antennas , 2001 .

[17]  Fujitsu Ten.  Masayuki KISHIDA 79 GHz Band Ultra-Wideband Automotive Radar , 2014 .

[18]  Dou Wenbin,et al.  Microstrip series fed antenna array for millimeter wave automotive radar applications , 2012, 2012 IEEE MTT-S International Microwave Workshop Series on Millimeter Wave Wireless Technology and Applications.

[19]  Jerzy Kowalewski,et al.  A simulator for multi-user automotive radar scenarios , 2015, 2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).

[20]  Stefan Nilsson,et al.  Positioning of moving non-line-of-sight targets behind a corner , 2016, 2016 European Radar Conference (EuRAD).

[21]  Le-Wei Li,et al.  A Novel Series-Fed Taper Antenna Array Design , 2008, IEEE Antennas and Wireless Propagation Letters.

[22]  Ming Chen,et al.  77 GHz radar scattering properties of pedestrians , 2014, 2014 IEEE Radar Conference.

[23]  Ralph Helmar Rasshofer,et al.  Automotive Radar and Lidar Systems for Next Generation Driver Assistance Functions , 2005 .

[24]  Theodore S. Rappaport,et al.  The human body and millimeter-wave wireless communication systems: Interactions and implications , 2015, 2015 IEEE International Conference on Communications (ICC).

[25]  Gerd Wanielik,et al.  Probabilistic road estimation and lane association using radar detections , 2011, 14th International Conference on Information Fusion.

[26]  Alberto Broggi,et al.  Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion , 2007, IEEE Transactions on Intelligent Transportation Systems.

[27]  Libo Huang,et al.  Simulation of the effect of signal source's phase noise on millimeter wave automotive radar system based on SystemVue , 2016, 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM).

[28]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[29]  Sandeep Rao,et al.  The fundamentals of millimeter wave sensors , 2017 .

[30]  Gabriel M. Rebeiz,et al.  A 77–81-GHz 16-Element Phased-Array Receiver With $\pm {\hbox{50}}^{\circ}$ Beam Scanning for Advanced Automotive Radars , 2014, IEEE Transactions on Microwave Theory and Techniques.

[31]  Ralph Helmar Rasshofer,et al.  Influences of weather phenomena on automotive laser radar systems , 2011 .