IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System

By Preeti Kumari, Junil Choi, Nuria González-Prelcic, Robert W. Heath. IEEE Transactions on Vehicular Technology, 2017

640 citations recorded by the source corpus.

Millimeter-wave (mmWave) radar is widely used in vehicles for applications such as adaptive cruise control and collision avoidance. In this paper, we propose an IEEE 802.11ad-based radar for long-range radar (LRR) applications at the 60 GHz unlicensed band. We exploit the preamble of a single-carrier physical layer frame, which consists of Golay complementary sequences with good correlation properties that make it suitable for radar. This system enables a joint waveform for automotive radar and a potential mmWave vehicular communication system based on the mmWave consumer wireless local area network standard, allowing hardware reuse. To formulate an integrated framework of vehicle-to-vehicle communication and LRR, we make typical assumptions for LRR applications, incorporating the full duplex radar operation. This new feature is motivated by the recent development of systems with sufficient isolation and self-interference cancellation. We develop single- and multi-frame radar receiver algorithms for target detection as well as range and velocity estimation for both single- and multi-target scenarios. Our proposed radar processing algorithms leverage channel estimation and time–frequency synchronization techniques used in a conventional IEEE 802.11ad receiver with minimal modifications. Analysis and simulations show that in a single-target scenario, a gigabits-per-second data rate is achieved simultaneously with cm-level range accuracy and cm/s-level velocity accuracy. The target vehicle is detected with a high probability (above 99.99 $\%$) at a low false alarm rate of 10 $^{-6}$ for an equivalent isotropically radiated power of 40 dBm up to a vehicle separation distance of about 200 m. The proposed IEEE 802.11ad-based radar meets the minimum accuracy/resolution requirement of range and velocity estimates for LRR applications.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/27d4794f03ff8d0652c0fda3b60b04a59903f372

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Citations in the corpus

Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective (2019, methodology): “By exploiting the preamble of a single SCPHY frame for radar, the existing mm-wave 802.11ad waveform simultaneously achieves a cm-level range resolution and a gigabyte/s data rate [17].”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, methodology): “Pioneered by [14], a MIMO DFRC approach is proposed to detect target using the mainlobe of the spatial beam pattern, while transmitting useful information by varying the sidelobe power.”
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, methodology): “As a beneﬁt of concerted community effort, the ISAC philosophy has evolved from a compelling theoretical concept to a practical engineering challenge [23], [52], [66], [67], [75], [76], [77], [78], [91], [94], [120], [123], [130], [135], [136], [137], [138].”
On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication (2020, background): “This initial target acquisition can be achieved using high resolution radar detection approaches (see [3] and references therein), beam sweeping and beacon-based initial acquisition [4]–[7] as in communication system standards (see [8] and references therein), or a combination thereof.”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, background): “11ad [35], [36], and ECMA-387 [37], [38], which spurs growing interests in (mmWave) outdoor commercial cellular systems.”
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, positive): “One clear advantage of DFRC methods over individual co-existing systems is that the functionalities share radio frequency (RF) front-end and aperture, thus reducing the cost and weight of hardware [43].”
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing (2021, positive): “The preamble in each packet is the main signal that has been exploited for radar sensing [13], [20], [22], [34], [35] in an 802.11ad DFRC system.”
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey (2023, neutral): “In [134], the preamble composed of Golay sequence of 802.”
Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges (2021, background): “In this way, a dual-mission signal can be prepared in which the two functionalities are divided in either a timedivision manner [10] or a spatial-division manner [8] or are even achieved with a fully unified waveform [9].”
Multibeam for Joint Communication and Radar Sensing Using Steerable Analog Antenna Arrays (2018, background): “THERE have been increasing demands for systems with both communication and radar sensing capabilities, on emerging platforms such as unmanned aerial vehicles and smart cars [1], [2].”
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications (2024, positive): “We note that for communications, H n,m in (2) can be usually modeled as frequency selective yet time-invariant (i.e., not doubly selective as in localization and sensing) since the channel coherence time is such that the impact of Doppler can be neglected [47].”
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies (2019, methodology): “Here, there is no compromise in the communications part, and the radar functionality is a byproduct of the protocol, which is typically IEEE 802.11p or IEEE 802.11ad [21]–[23], [42]–[44].”
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities (2020, background): “For example, in [105], the preambles of the single-carrier 802.11ad system have been exploited to carry out long-range radar sensing in the 60 GHz unlicensed band.”