Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yimin Liu; Yonina Eldar

doi:10.1109/MSP.2020.2983832

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Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

Journal article

an open version is available

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Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu and Yonina Eldar

IEEE signal processing magazine, Vol.37(4), pp.85-97

29/Jun/2020

DOI: https://doi.org/10.1109/MSP.2020.2983832

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Abstract

Self-driving cars constantly assess their environment to choose routes, comply with traffic regulations, and avoid hazards. To that aim, such vehicles are equipped with wireless communications transceivers as well as multiple sensors, including automotive radars. The fact that autonomous vehicles implement both radar and communications motivates designing these functionalities in a joint manner. Such dualfunction radar-communications (DFRC) designs are the focus of a large body of recent work. These approaches can lead to substantial gains in size, cost, power consumption, robustness, and performance, especially when both radar and communications operate in the same range, which is the case in vehicular applications.

Radar antennas

OFDM

Frequency division multiplexing

Automotive Engineering

Autonomous Vehicles

Radar Detection

Details

Title: Joint Radar-Communication Strategies for Autonomous Vehicles; Combining Two Key Automotive Technologies
Creators: Dingyou Ma - Tsinghua University
Nir Shlezinger - 972WIS_INST___83
Tianyao Huang - Tsinghua University
Yimin Liu - Tsinghua University
Yonina Eldar - 972WIS_INST___83
Resource Type: Journal article
Publication Details: IEEE signal processing magazine, Vol.37(4), pp.85-97; 29/Jun/2020
Number of pages: 13
Publisher: IEEE
Language: English
DOI: https://doi.org/10.1109/MSP.2020.2983832
Grants: Breaking the Nyquist Barrier: A New Paradigm in Data Conversion and Transmission, 646804, European Research Council (Belgium, Brussels) - ERC
Grant note: This work received funding from the National Natural Science Foundation of China under grants 61571260 and 61801258, from the European Unions Horizon 2020 research and innovation program under grant No. 646804- ERC-COG-BNYQ, and from the Air Force Office of Scientific Research under grant No. FA9550-18-1-0208. 61571260; 61801258 / National Natural Science Foundation of China (10.13039/501100001809) 646804- ERC-COG-BNYQ / Horizon 2020 Framework Programme (10.13039/100010661) FA9550-18-1-0208 / Air Force Office of Scientific Research (10.13039/100000181)
Record Identifier: 993214419703596

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