On the feasibility of using IEEE 802.11ad mmWave for accurate object detection

Ajorloo, Hossein; Sreenan, Cormac J.; Loch, Adrian; Widmer, Joerg

doi:10.1145/3297280.3297517

Cited by 14 publications

(21 citation statements)

References 13 publications

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“…This means that any transmitter or receiver has a certain amount (at least one) of transmit or receive antennas depending on the antenna type and design. Suitable antenna types include, but are not limited to, horn antenna [64], [65], [68], [74], [102], [109], [116]- [119], [142]- [155], yagi antenna [149], lens antenna [59], [105], reflectarray antenna [85], [86], cassegrain antenna [88], [113], (on-chip integrated) patch antenna [49], [54], [82], [127], [128], [139], [151], [156], [157], and parabolic antenna [110], [112]. Suitable antenna designs include, but are not limited to, phased array antenna design [144], [145], [147], [158]- [162], frequency scanned antenna design [87], fan and pencil beam antenna design [119], gaussian beam antenna design [100], and omni-directional antenna design [146].…”

Section: A Collection Systemsmentioning

confidence: 99%

“…The authors in [160] use a robot that moves and rotates. The authors in [155] use a fixed position where both the transmitter and receiver are located. Measurements are taken at a given location and associated angles [155], [160].…”

Section: ) Spatial Sweepingmentioning

confidence: 99%

“…The authors in [155] use a fixed position where both the transmitter and receiver are located. Measurements are taken at a given location and associated angles [155], [160]. In fixed sweeping, position and direction of both transmitters and receivers are fixed.…”

Section: ) Spatial Sweepingmentioning

confidence: 99%

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Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz that correspond to wavelengths ranging from 10 to 1 mm. Although millimeter wave is often considered as a communication medium, it has also proved to be an excellent 'sensor', thanks to its narrow beams, operation across a wide bandwidth, and interaction with atmospheric constituents. In this paper, which is to the best of our knowledge the first review that completely covers millimeter wave sensing application pipelines, we provide a comprehensive overview and analysis of different basic application pipeline building blocks, including hardware, algorithms, analytical models, and model evaluation techniques. The review also provides a taxonomy that highlights different millimeter wave sensing application domains. By performing a thorough analysis, complying with the systematic literature review methodology and reviewing 165 papers, we not only extend previous investigations focused only on communication aspects of the millimeter wave technology and using millimeter wave technology for active imaging, but also highlight scientific and technological challenges and trends, and provide a future perspective for applications of millimeter wave as a sensing technology.

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Section: A Collection Systemsmentioning

confidence: 99%

Section: ) Spatial Sweepingmentioning

confidence: 99%

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Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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“…Because of hardware limitations, mmWave JCR prototyping using communication testbeds have been difficult [7]. Recently, [8] investigated the applicability of the IEEE 802.11ad technology at 60 GHz for communications on a vehicular testbed using the Tensorcom 802.11ad module.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, [8] investigated the applicability of the IEEE 802.11ad technology at 60 GHz for communications on a vehicular testbed using the Tensorcom 802.11ad module. In [7], the feasibility of IEEE 802.11ad-based radar [9], [10] was performed indoors in the range domain using a Dell laptop with IEEE 802.11ad functionality at 60 GHz. The IEEE 802.11ad testbeds developed in [7], [8], however, used analog beamforming and was not fully programmable.…”

Section: Introductionmentioning

confidence: 99%

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Kumari

Mezghani

Heath

2021

IEEE Open J. Veh. Technol.

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A fully-digital wideband joint communication-radar (JCR) with a single-input-multiple-output (SIMO) architecture at the millimeter-wave (mmWave) band will enable high joint communication and radar performance with enhanced design flexibility. A quantized receiver with few-bit analog-to-digital converters (ADCs) will enable a practical JCR solution with reduced power consumption for futuristic portable devices and autonomous vehicles. In this paper, we present a joint communicationradar proof-of-concept platform, named JCR70, to evaluate and demonstrate the performance of these JCR systems using real channel measurements in the 71-76 GHz band. We develop this platform by extending a mmWave communication set-up with an additional full-duplex radar receiver and by capturing the SIMO JCR channel using a moving antenna on a sliding rail. To characterize the JCR performance of our developed testbed, we conduct several indoor and outdoor experiments and apply traditional as well as advanced processing algorithms on the measured data. The experimental results show that the quantized receiver with 2-4 bit ADCs generally performs quite close to the high-resolution ADC for a signal-to-noise ratio of up to 5 dB. Additionally, we compare the performance of our JCR70 platform with the INRAS Radarbook, which is a state-of-the-art automotive radar evaluation platform at 77 GHz.

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A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and Applications

Shastri

Valecha

Bashirov

et al. 2022

IEEE Commun. Surv. Tutorials

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The commercial availability of low-cost millimeterwave (mmWave) communication and radar devices is starting to improve the adoption of such technologies in consumer markets, paving the way for large-scale and dense deployments in fifthgeneration (5G)-and-beyond as well as 6G networks. At the same time, pervasive mmWave access will enable device localization and device-free sensing with unprecedented accuracy, especially with respect to sub-6 GHz commercial-grade devices.This paper surveys the state of the art in device-based localization and device-free sensing using mmWave communication and radar devices, with a focus on indoor deployments. We overview key concepts about mmWave signal propagation and system design, detailing approaches, algorithms and applications for mmWave localization and sensing. Several dimensions are considered, including the main objectives, techniques, and performance of each work, whether they reached an implementation stage, and which hardware platforms or software tools were used.We analyze theoretical (including signal processing and machine learning), technological, and implementation (hardware and prototyping) aspects, exposing under-performing or missing techniques and items towards enabling a highly effective sensing of human parameters, such as position, movement, activity and vital signs. Among many interesting findings, we observe that device-based localization systems would greatly benefit from commercial-grade hardware that exposes channel state information, as well as from a better integration between standardcompliant mmWave initial access and localization algorithms, especially with multiple access points (APs). Moreover, more advanced algorithms requiring zero-initial knowledge of the environment would greatly help improve the adoption of mmWave simultaneous localization and mapping (SLAM). Machine learning (ML)-based algorithms are gaining momentum, but still require the collection of extensive training datasets, and do not yet generalize to any indoor environment, limiting their applicability. Manuscript received xxxx xx, xxxx . . .

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On the feasibility of using IEEE 802.11ad mmWave for accurate object detection

Cited by 14 publications

References 13 publications

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and Applications

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