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检索条件"任意字段=12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022"

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Fundamental Investigation of Wi-Fi Beamforming Report Properties on Wireless Sensing 12

Fundamental Investigation of Wi-Fi Beamforming Report Proper...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Kato, Sorachi Matsukawa, Takuma Murakami, Tomoki Fujihashi, Takuya Watanabe, Takashi Saruwatari, Shunsuke Osaka Univ Grad Sch Informat Sci & Technol Suita Osaka Japan Osaka Univ Sch Engn Suita Osaka Japan NTT Corp Access Network Serv Syst Labs Yokosuka Kanagawa Japan

ISBN: (纸本)9781665406338

In the Wi-Fi network standards, channel state information (CSI) in ieee 802.11n and compressed beamforming report (CBR) in ieee 802.11ac and ax are utilized for highspeed and reliable wireless communications. Given that the CSI can accurately mirror physical changes in the wireless channel, CSI is also widely used for several sensing purposes. In recent years, CBR, the compressed form of CSI, is also used to realize wireless sensing by using ieee 802.11ac-compatible wireless devices. Many studies on CSI-based sensing and CBR-based sensing rely on experimental measurements to demonstrate their feasibility, but the performance gap between the CSI-based and CBR-based sensing is not well discussed. In addition, the effect of the time-varying phase offset on the sensing performance is also still unclear. In this paper, we set up a simulation environment and clarify the feasibility of CBR-based sensing by dealing with practical sensing tasks with CBR. Our simulations find that CBRbased sensing with frequency analysis achieves high accuracy comparable to CSI-based sensing, whereas the time series data is considerably distorted due to bit quantization, and that existing sensing methods relying on the nature of CSI are unsuitable for CBR.

关键词： Wireless Sensing ieee 802.11ac Channel State Information Compressed Beamforming Report

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Gait Variability Analysis with Multi-Channel FMCW Radar for Fall Risk Assessment 12

Gait Variability Analysis with Multi-Channel FMCW Radar for ...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Rahman, M. Mahbubur Martelli, Dario Gurbuz, Sevgi Z. Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL USA Univ Alabama Dept Mech Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9781665406338

Early detection of fall risk in homes and assisted living facilities is essential in preventing debilitating injuries and improving the quality of life of older adults. Several studies have found increased gait variability among community-living older adults with a history of falls. Quantitative 3D gait analysis in laboratories equipped with motion capture devices can be used to record and extract stride-to-stride gait fluctuations that are indicative of fall risk. Such facilities are very expensive, may not be easily accessible for aging and rural communities. Wearable sensors are a cheaper alternative to observe gait in natural settings;however, it can suffer from drift or other inaccuracies. RF sensors can be a game changer to reduce healthcare costs and disparities, improve quality of care, and facilitate aging-inplace by enabling frequent estimation of gait variability in natural settings. In particular, multi-channel frequency modulated continuous wave (FMCW) radar can be used to characterize gait and detect gait abnormalities. In this paper, multi-channel FMCW radar is used to measure gait dynamics in terms of steptime variability. the accuracy of RF measurements is validated via comparison with gold standards, such as the Vicon motion capture camera system. Step-time variability was compared for both normal walking and walking during visual perturbations generated through the use of a virtual reality headset. the accuracy of RF measurement is evaluated for single and multiple channel processing. Our results demonstrate that multi-channel RF sensors can be an effective tool for gait variability assessment in natural, in-home settings.

关键词： gait variability RF sensor Vicon FMCW Radar

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DoA Estimation Performance of UCAs with Reduced Number of sensors using Phase-Mode Transformation and Small sample Support 12

DoA Estimation Performance of UCAs with Reduced Number of Se...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Liali, Guilherme Murmel Apolinario, Jose A., Jr. de Campos, Marcello L. R. Ramos, Antonio L. L. Mil Inst Engn Depts Def Engn Rio De Janeiro Brazil Mil Inst Engn Depts Elect Engn Rio De Janeiro Brazil Univ Fed Rio de Janeiro Elect Engn Rio De Janeiro Brazil Univ South Eastern Norway Dept Sci & Ind Syst Kongsberg Norway

ISBN: (纸本)9781665406338

In this work, we assess the performance of a Uniform Circular array featuring a reduced number of sensors and using small sample support comprised of only a few snapshots. We begin by analyzing the limitations of the phase-mode transformation in the context of a uniform circular array with a reduced number of sensors. Next, we address the challenging issue of having limited sample support, followed by a brief discussion of the techniques that can be used to mitigate the degradation caused by the two aforementioned problems. Several experiments are conducted to evaluate the DoA estimation performance of narrowband acoustic signals in different scenarios, having water as propagating media.

关键词： Direction of Arrival Estimation Uniform Circular array Phase-mode Transformation Small sample Support

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Decision Fusion for Carbon Dioxide Release Detection from Pressure Relief Devices 12

Decision Fusion for Carbon Dioxide Release Detection from Pr...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Tabella, Gianluca Di Martino, Yuri Ciuonzo, Domenico Paltrinieri, Nicola Wang, Xiaodong Rossi, Pierluigi Salvo Norwegian Univ Sci & Technol Dept Elect Syst Trondheim Norway Columbia Univ Dept Elect Engn New York NY 10027 USA Univ Naples Federico II Dept Elect Engn & Informat Technol DIETI Naples Italy Norwegian Univ Sci & Technol Dept Mech & Ind Engn Trondheim Norway SINTEF Energy Res Dept Gas Technol Trondheim Norway

ISBN: (纸本)9781665406338

this work investigates the distributed detection of carbon dioxide (CO2) release from storage tanks caused by the opening of pressure relief devices via inexpensive sensor devices in an industrial context. A realistic model of the dispersion is put forward in this paper. Both full-precision and rate-limited setups for sensors are considered, and fusion rules capitalizing the dispersion model are derived. Simulations analyze the performance trends with relevant system parameters.

关键词： Carbon Dioxide Decision Fusion Distributed Detection Industry 4.0 Internet of things Wireless sensor Networks

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Exploiting array Geometry for Reduced-Subspace Channel Estimation in RIS-Aided Communications 12

Exploiting Array Geometry for Reduced-Subspace Channel Estim...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Demir, Ozlem Tugfe Bjornson, Emil Sanguinetti, Luca KTH Royal Inst Technol Dept Comp Sci Kista Sweden Univ Pisa Dipartimento Ingn Informaz Pisa Italy

ISBN: (纸本)9781665406338

A reconfigurable intelligent surface (RIS) can be used to improve the channel gain between a base station (BS) and user equipment (UE), but only if its N reflecting elements are configured properly. this requires accurate estimation of the cascaded channel from the UE to the BS through each RIS element. If the channel structure is not exploited, pilot sequences of length N must be used, which is a major practical challenge since N is typically at the order of hundreds. To address this problem without requiring user-specific channel statistics, we propose a novel estimator, called reduced-subspace least squares (RS-LS) estimator, that only uses knowledge of the array geometry. the RIS phase-shift pattern is optimized to minimize the mean-square error of the channel estimates. the RS-LS estimator largely outperforms the conventional leastsquares estimator, and can be utilized with a much shorter pilot length since it exploits the fact that the array geometry confines the possible channel realizations to a reduced-rank subspace.

关键词： RIS channel estimation reduced-subspace least squares reduced pilot length pilot design

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Advanced Hybrid Beamforming Design for MIMO Systems 10

Advanced Hybrid Beamforming Design for MIMO Systems

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10th ieee sensor array and multichannel signal processing workshop (sam)

作者： Yang, Bowen Molu, Mehdi M. Zhang, Lei Univ Glasgow Sch Engn Glasgow G12 8QQ Lanark Scotland SCSC Cambridge CB4 0DS England

ISBN: (纸本)9781538647523

One of the fundamental problems for hybrid beamformer design in MIMO systems is that, in Singular-Value-Decomposition (SVD) based beamforming, the analog beamformer is limited to constant modulus. In order to solve this issue, an algorithm is proposed in this paper. Specifically, the parallel data streams are expressed mathematically, and then the math expression of the analog beamformer is achieved through maximizing the power of desired data streams while minimizing the power of interference. then, the digital part of the beamformer is calculated based on a channel equivalent process, i.e., considering the phase response vector of the derived analog beamformers as part of the channel observed by the digital beamformers. Simulations are performed on the proposed algorithm and compared to a recent state-of-the-art technique. the results show that the proposed one outperforms in terms of sphere of application (i.e., different antenna array sizes and channel sparsities).

关键词： Antenna arrays array signal processing signal processing algorithms Interference Radio frequency Scattering Complexity theory"

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A Joint Particle Filter for Quaternion-Valued α-Stable signals via the Characteristic Function

A Joint Particle Filter for Quaternion-Valued α-Stable Sign...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Talebi, Sayed Pouria Werner, Stefan Xia, Yili Took, Clive Cheong Mandic, Danilo P. Norwegian Univ Sci & Technol Dept Elect Syst NO-7491 Trondheim Norway Southeast Univ Informat Sci & Engn Nanjing 210096 Peoples R China Royal Holloway Univ London Dept Elect Engn Egham Surrey England Imperial Coll London Elect & Elect Engn Dept London SW7 2AZ England

ISBN: (纸本)9781665406338

the filtering paradigm is revisited through the perspective of characteristic functions. this results in the derivation of a novel particle filtering technique for sequential estimation/tracking of quaternion-valued.-stable random signals. Importantly, the derived particle filter incorporates an efficient information fusion format and collaborative/distributed estimation framework to accommodate the push toward use of sensor networks. the distributed setting provides for the distribution of computational complexity among agents of a sensor network, while allowing each agent to retain an estimate of the state. Furthermore, the quaternion-valued structure allows for the derivation of a rigorous algorithm that is advantageous when dealing with signals of a multidimensional nature commonly encountered in sensor arrays.

关键词： alpha-stable random signals quaternion-valued signal processing particle filtering distributed estimation

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Digital signal processing: A Review Journal: Editorial

Digital Signal Processing: A Review Journal: Editorial

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作者： Rangaswamy, Muralidhar Campbell, Joe

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A Joint Particle Filter for Quaternion-Valued a-Stable signals via the Characteristic Function 12

A Joint Particle Filter for Quaternion-Valued a-Stable Signa...

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12th ieee sensor array and multichannel signal processing workshop, sam 2022

作者： Talebi, Sayed Pouria Werner, Stefan Xia, Yili Took, Clive Cheong Mandic, Danilo P. Norwegian University of Science and Technology Electronic Systems Department NO-7491 Norway Southeast University Information Science and Engineering Nanjing210096 China Royal Holloway University of London Department of Electrical Engineering United Kingdom Imperial College London Electrical and Electronic Engineering Department SW7-2AZ United Kingdom

ISBN: (纸本)9781665406338

the filtering paradigm is revisited through the perspective of characteristic functions. this results in the derivation of a novel particle filtering technique for sequential estimation/tracking of quaternion-valued a-stable random signals. Importantly, the derived particle filter incorporates an efficient information fusion format and collaborative/distributed estimation framework to accommodate the push toward use of sensor networks. the distributed setting provides for the distribution of computational complexity among agents of a sensor network, while allowing each agent to retain an estimate of the state. Furthermore, the quaternion-valued structure allows for the derivation of a rigorous algorithm that is advantageous when dealing with signals of a multidimensional nature commonly encountered in sensor arrays. © 2022 ieee.

关键词： sensor networks

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Blind Source Separation with Non-Coplanar Interferometric Data

Blind Source Separation with Non-Coplanar Interferometric Da...

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sensor array and multichannel signal processing workshop

作者： Ré mi Carloni Gertosio Jé rô me Bobin IRFU CEA Universit&#x00E9 Paris-Saclay Gif-sur-Yvette France

the advent of large-scale radio-interferometers mandates the development of new analysis methods that can tackle instrumental effects such as antenna baseline non-coplanarity. In particular, blind source separation (BSS) methods, which are one of the main analytical tools for extracting valuable physical information from the multispectral data provided by radio-interferometers, must be adapted. To that end, we intro-duce a joint deconvolution and blind source separation (DBSS) algorithm called wGMCA, allowing the analysis of non-coplanar interferometric data in radio-astronomy.

关键词： Deconvolution Image resolution Instruments Conferences signal processing algorithms Blind source separation Data mining

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