Design and simulation of automotive radar for autonomous vehicles

Keywords: RADAR, ADAS, AEB, ACC, autonomous vehicles, Altair FEKO, Winprop, beamwidth, frequency, bandwidth, parking aid

Abstract

Modern automobile technology is pushing towards maximizing road safety, connected vehicles, autonomous vehicles, etc. Automotive RADAR is core sensor technology used for ADAS (Advanced Driver Assistance Technology), ACC (Adaptive Cruise Control), AEB (Automatic Emergency Braking System), traffic assistance, parking aid, and obstacle/pedestrian detection. Despite being inexpensive, RADAR technology provides robust results in harsh conditions such as harsh weather, extreme temperature, darkness, etc. However, the performance of these systems depends on the position of the RADAR and its characteristics like frequency, beamwidth, and bandwidths. Moreover, the characterization of varied materials like layers of paint, polish, primer, or layer of rainwater needs to be analyzed. This performance can be predicted through real-time simulation using advanced FEM software like Altair FEKO&WinProp. These simulations can provide valuable insight into the performance of the system, allowing engineers to optimize the system for specific use cases. For example, simulation can be used to determine the optimal parameters of the RADAR system for a given application. This information can then be used to design and build a physical model or prototype that is optimized for the desired performance. These simulations play a prominent role in determining appropriate data collection and sensor fusion, which reduces the cost and time required for the development of a physical model or prototype. The continued growth and demand for advanced safety features in vehicles further highlight the importance of RADAR technology in modern automobile technology. By accurately characterizing the environment and simulating the system's behavior in real time, engineers can optimize RADAR systems for specific use cases, contributing to safer and more efficient driving experiences

Downloads

Download data is not yet available.

Author Biographies

Hai Thanh Ha, Hanoi University of Industry

Department of Science and Technology

Santosh R. Patil, Shivaji University

Department of Mechanical Engineering

Rajarambapu Institute of Technology

Shailesh S. Shirguppikar, Shivaji University

Department of Mechatronics Engineering

Rajarambapu Institute of Technology

Shrikant Pawar, Shivaji University

Rajarambapu Institute of Technology

Tu Ngoc Do, Hanoi University of Industry

Department of Industry Tool and Equipment

Phan Huu Nguyen, Hanoi University of Industry

Department of Industry Tool and Equipment

Thanh Thi Phuong Le, Hanoi University of Industry

Department of Industry Tool and Equipment

Ly Trong Nguyen, Hanoi University of Industry

Department of Industry Tool and Equipment

Tam Chi Nguyen, Hanoi University of Industry

Department of Industry Tool and Equipment

References

Yadav, A. K., Szpytko, J. (2017). Safety problems in vehicles with adaptive cruise control system. Journal of KONBiN, 42 (1), 389โ€“398. doi: https://doi.org/10.1515/jok-2017-0035

Sagar, R. (2017). Making cars safer through technology innovation. Texas Instruments. Available at: https://www.ti.com/lit/fs/sszy009a/sszy009a.pdf?ts=1683528351253&ref_url=https%253A%252F%252Fwww.google.com%252F

Charvat, G. L. (2014). Small and Short-Range Radar Systems. CRC Press, 427. doi: https://doi.org/10.1201/b16718

Winner, H., Hakuli, S., Lotz, F., Singer, C. (Eds.) (2016). Handbook of Driver Assistance Systems. Springer. doi: https://doi.org/10.1007/978-3-319-12352-3

Ezekwem, D. (2016). Composite Materials Literature review for Car bumber. doi: http://dx.doi.org/10.13140/RG.2.1.1817.3683

Kumar, P. (2014). Comparative Study of Automotive Bumper with Different Materials for Passenger and Pedestrian Safety. IOSR Journal of Mechanical and Civil Engineering, 11 (4), 60โ€“64. doi: https://doi.org/10.9790/1684-11436064

Ab Wahab, N., Bin Maslan, Z., Muhamad, W. N. W., Hamzah, N. (2010). Microstrip Rectangular 4x1 Patch Array Antenna at 2.5GHz for WiMax Application. 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks. doi: https://doi.org/10.1109/cicsyn.2010.73

Hashim, A. B. M. (2007). Development of microstrip patch array antenna for wireless local area network (WLAN). School of Computer and communication Engineering. Available at: http://dspace.unimap.edu.my/xmlui/bitstream/handle/123456789/2860/Abstract,%20Acknowledgement.pdf?sequence=7

Reina, G., Johnson, D., Underwood, J. (2015). Radar Sensing for Intelligent Vehicles in Urban Environments. Sensors, 15 (6), 14661โ€“14678. doi: https://doi.org/10.3390/s150614661

Chipengo, U., Krenz, P. M., Carpenter, S. (2018). From Antenna Design to High Fidelity, Full Physics Automotive Radar Sensor Corner Case Simulation. Modelling and Simulation in Engineering, 2018, 1โ€“19. doi: https://doi.org/10.1155/2018/4239725

Ramasubramanian, K., Ramaiah, K., Aginskiy, A. (2017). Moving from legacy 24 GHz to state-of-the-art 77 GHz radar. Texas Instruments. Available at: https://www.ti.com/lit/wp/spry312/spry312.pdf

Jian, B., Yuan, J., Liu, Q. (2019). Procedure to Design a Series-fed Microstrip Patch Antenna Array for 77 GHz Automotive Radar. 2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC). doi: https://doi.org/10.1109/csqrwc.2019.8799356

Design and simulation of automotive radar for autonomous vehicles

๐Ÿ‘ 36
โฌ‡ 29
Published
2023-05-25
How to Cite
Ha, H. T., Patil, S. R., Shirguppikar, S. S., Pawar, S., Do, T. N., Nguyen, P. H., Le, T. T. P., Nguyen, L. T., & Nguyen, T. C. (2023). Design and simulation of automotive radar for autonomous vehicles. EUREKA: Physics and Engineering, (3), 52-65. https://doi.org/10.21303/2461-4262.2023.002766
Section
Engineering