Investigating the IEEE 802.11ad Standard for Millimeter Wave Automotive Radar

Kumari, Preeti; González–Prelcic, Nuria; Heath, Robert W.

doi:10.1109/vtcfall.2015.7390996

Cited by 114 publications

(110 citation statements)

References 9 publications

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“…The Doppler frequency estimation based on the Moose algorithm [48] or the CFO estimation algorithm used in IEEE 802.11ad [23], when applied on a single frame does not achieve the desired velocity accuracy of 0.1 m/s due to the small integration time, T int = P T s , for velocity estimation, as shown in [25]. Therefore, to achieve desired velocity accuracy, we propose a multi-frame Moose-based algorithm for the Doppler frequency estimation problem aŝ…”

Section: ) Target Detectionmentioning

confidence: 99%

“…Our previous work in [25] was the first to propose the idea of using IEEE 802.11ad for a joint vehicular communication and radar system. There were some limitations in [25] that are overcome in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…There were some limitations in [25] that are overcome in this paper. First, the system model was developed only for a single target model using a single frame.…”

Section: Introductionmentioning

confidence: 99%

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

Kumari

Choi

González–Prelcic

et al. 2018

IEEE Trans. Veh. Technol.

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555

418

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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 (SC) physical layer (PHY) frame, which consists of Golay complementary sequences with good correlation properties, as a radar waveform. This system enables a joint waveform for automotive radar and a potential mmWave vehicular communication system based on IEEE 802.11ad, allowing hardware reuse.To formulate an integrated framework of vehicle-to-vehicle (V2V) communication and LRR based on a mmWave consumer wireless local area network (WLAN) standard, we make typical assumptions for LRR applications and incorporate the full duplex radar assumption due to the possibility of 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 within a coherent processing interval. 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 Gbps 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 of detection (>99.9%) at a low false alarm of 10 −6 for an equivalent isotropically radiated power (EIRP) of 43 dBm up to a vehicle separation distance of 200 m.

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Section: ) Target Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Kumari

Choi

González–Prelcic

et al. 2018

IEEE Trans. Veh. Technol.

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555

418

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“…Furthermore, the shift to mm-wave also involves a change to directive communications, rather than broadcasting, which introduces new challenges [8,9]. Within future wireless networks, mm-wave frequencies around 28 GHz and 37 GHz have been proposed for use in cellular 2 International Journal of Antennas and Propagation networks in urban environments (e.g., [10][11][12][13]), with the 25-40 GHz band being considered by the Federal Communications Commission in the US [14], whilst mm-wave frequencies between 55 and 100 GHz have been proposed for indoor environments and short-range outdoor environments, including vehicle-to-vehicle links, as well as other applications that may also rely on 5G networks (e.g., [13,[15][16][17]). …”

Section: Background and Motivationsmentioning

confidence: 99%

Beam-Steering Performance of Flat Luneburg Lens at 60 GHz for Future Wireless Communications

Foster

Nagarkoti

Gao

et al. 2017

International Journal of Antennas and Propagation

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The beam-steering capabilities of a simplified flat Luneburg lens are reported at 60 GHz. The design of the lens is first described, using transformation electromagnetics, before discussion of the fabrication of the lens using casting of ceramic composites. The simulated beam-steering performance is shown, demonstrating that the lens, with only six layers and a highest permittivity of 12, achieves scan angles of ±30 ∘ with gains of at least 18 dBi over a bandwidth from 57 to 66 GHz. To verify the simulations and further demonstrate the broadband nature of the lens, raw high definition video was transmitted over a wireless link at scan angles up to 36 ∘ . Background and MotivationsThe quest for ubiquitous wireless connectivity with everincreasing data rates has been a feature of the last half century. With the advent of the Internet of Things (IoT) adding huge numbers of devices requiring bandwidth to an alreadychallenging push for even greater data rates to be supported on personal wireless terminals, considerable research effort is being invested into future wireless networks. High-data rate applications include the streaming of ultrahigh definition video and virtual and augmented reality (e.g., [1,2]); the use of 60 GHz for these applications is now relatively wellestablished, with IEEE standards (e.g., 802.15.3c, 802.11ad[3]) well-suited for this aspect of 5G services and networks.Other aspects of 5G development are concerned with serving greater numbers of end-terminals and reducing latency, with some applications in the IoT relevant to this (even when data rate requirements are not severe).A large number of technologies are being brought together to achieve the various aims for the next generation of wireless networks [4]. This includes the use of small cells (where the density of base stations is increased), cooperative communications (where interference is reduced via communication between nodes, to improve achievable data rates and reliability), carrier aggregation (where bandwidth from disparate channels is combined to meet requirements), and heterogeneous networks (where multiple networks operating at different frequencies and with different modulations, etc., are used). One key technology is massive multi-input-multioutput (M-MIMO) systems, where the number of antennas is increased by at least an order of magnitude (e.g., [5][6][7]).One key approach to realise the objectives of future wireless networks is to utilise previously unused parts of the electromagnetic spectrum at higher frequency bands, particularly the millimetre-wave (mm-wave) and terahertz (THz) bands. Currently, wireless networks predominantly use the spectrum between 0.1 and 10 GHz, as these have offered key benefits of long propagation ranges, ease of fabrication, and ease of power generation and signal modulation, amongst others. Conversely, the higher bands must overcome increased propagation losses, smaller feature sizes that increase fabrication challenges, and other problems; the demand for bandwidth is such that these challenges...

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“…Mmwave communications leverage potentially available spectrum from 30 GHz to 300 GHz to provide high data rates, thus being considered for many applications including personal area network (PAN) (e.g., WirelessHD [5]), wireless local area networks (WLAN) (e.g., IEEE 802.11ad [6]), vehicular communications associated with radar [7] and wearable networks [8]. In recent years, the massive multiple-input multiple-output (MIMO) which This work was supported by Australian Research Council Discovery Projects DP140100522 and DP160101693, also by iVEC (http://www.ivec.org) through the use of advanced computing resources.…”

Section: Introductionmentioning

confidence: 99%

A low cost interpolation based detection algorithm for medium-size massive MIMO-OFDM systems

Fang

Huang

et al. 2017

2017 17th International Symposium on Communications and Information Technologies (ISCIT)

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Abstract-The great potential of exploiting millimeter wave (mmwave) frequency spectrum for emerging fifth-generation (5G) wireless networks has motivated the study of massive multipleinput multiple-output (MIMO) for achieving high data rate. For medium-size massive MIMO with orthogonal frequency division multiplexing (OFDM) uplink systems, the minimum mean square error (MMSE) based soft-output detector is often used due to its better bit error rate (BER) performance compared to the matched filter detector. Although the multipath channel can be converted into a set of parallel flat-fading channels by using OFDM thus reducing the complexity of receiver design, the tone by tone (per subcarrier) detection methods based on the state-of-the-art low complexity MMSE still incur considerably high computational complexity since the number of tones is typically very large. To reduce the complexity, the interpolationbased matrix inversion algorithms for small-size MIMO-OFDM systems have been proposed, which compute the matrix inversion by interpolating separately the adjoint and determinant. In this paper, we find that the (regularized) Gram matrix inversions have strong correlation between different subcarriers. By exploiting this strong correlation, we propose a linear interpolation based MMSE detection algorithm that directly interpolates the inverted MMSE matrices for a small number of subcarriers to obtain matrix inversions for all other subcarriers, thereby significantly reducing the number of matrix inversion required. Extensive simulations show that with small BER performance loss compared to the exact MMSE detector, the proposed algorithm can reduce the complexity to the level of the matched filter algorithm.

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Investigating the IEEE 802.11ad Standard for Millimeter Wave Automotive Radar

Cited by 114 publications

References 9 publications

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

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

Beam-Steering Performance of Flat Luneburg Lens at 60 GHz for Future Wireless Communications

A low cost interpolation based detection algorithm for medium-size massive MIMO-OFDM systems

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