Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies
By Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar. IEEE Signal Processing Magazine, 2019
402 citations recorded by the source corpus.
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.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7f2b19f2186360aeb1ef872ff6de7b3eff609e00
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Citations in the corpus
- An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing (2021, neutral): “…various names, such as Radar-communications (RadCom) [1], joint radar (and) communications (JRC) [7], [9], [11], joint communication (and) radar (JCR) [20], [22], joint communication and radar/radio sensing (JCAS) [23], [24], and dual-function(al) radar communications (DFRC) [4], [10], [25], [26].”
- The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications (2024, neutral): “The work in [10] focuses on automotive applications, describing radar-centric and communication-centric waveforms, but not covering the detailed description of specific algorithms or learning strategies for sensing or operation modes in the near field, to name some limitations.”
- Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021, methodology): “Indeed, in many location-aware services and applications, sensing and communications are recognized as a pair of intertwined functionalities, which are often required to operate simultaneously [3]–[5].”
- Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “Fully unified ISAC waveforms are generally designed following three philosophies, namely, sensing-centric design (SCD), communication-centric design (CCD), and joint design (JD) approaches [45], [49], which we elaborate on as follows.”
- Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, background): “From the algorithmic side, properly combining radar and communications is a challenging task, and a broad range of strategies for doing so have been proposed in the literature, see, e.g., the detailed survey in [20].”