Time-variant BAN channel characterization

D’Errico, Raffaele; Ouvry, Laurent

doi:10.1109/pimrc.2009.5449948

Cited by 61 publications

(33 citation statements)

References 8 publications

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“…Then the resulting distance estimates usually feed localization or tracking algorithms to position the mobile nodes [4]. Finally, for the [3.1, 5.1]GHz and [3.75, 4.25]GHz bands considered hereafter, it was previously shown in [3] that on-body channels suffer from significant shadowing, which is far dominating other distance-dependent effects. Accordingly, TOA estimation and its related error regimes are both expected to be strongly affected (and thus mostly conditioned) by dynamic body obstructions under mobility.…”

Section: Intra-wban Toa-based Ranging 21 Single-link On-body Multipamentioning

confidence: 99%

“…First of all, we consider the dynamic radio channels associated with the Hip-Chest and Hip-Wrist links from a past measurement campaign described in [3], where the total recording time was 4 sec and consecutive temporal channel responses were collected every 20ms in the band [3.1, 5.1]GHz. The measurements were performed under moderate human walk mobility in a typical indoor environment, resulting in a set of 200 time-stamped channel responses.…”

Section: Multipath Extraction Out Of Channel Measurementsmentioning

confidence: 99%

“…Just like in [3], the dynamic power transfer function was also directly calculated out of the corresponding time-stamped frequency-domain measurements H(t, f ) in the band B (anyway made available for RF calibration purposes), as follows: …”

Section: Multipath Extraction Out Of Channel Measurementsmentioning

confidence: 99%

“…Finally, during the initial communication-oriented measurement campaign reported in [3], the real distance between nodes was not collected, since measurements were not carried out for localization purposes. However, in first approximation, one can try to extract this distance out of the measured TOA in time-stamp regions when the LOS conditions are clearly identified and with SN R(t0) = +∞ for the synthetic received signals in the largest bandwidth [3.1, 5.1]GHz.…”

Section: Emulated Toa Estimates and Conditional Error Regimesmentioning

confidence: 99%

“…In this paper, we consider characterizing and modeling such TOA-based ranging errors, using representative UWB onbody channel measurements, which were carried out under typical pedestrian walking [3]. More specifically, we take into account the dynamic link obstruction conditions experienced under body mobility, namely Line Of Sight (LOS) and Non Line Of Sight (NLOS) conditions alternatively.…”

Section: Introductionmentioning

confidence: 99%

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Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation

Hamie¹,

Denis²,

D'ERRICO³

et al. 2012

Proceedings of the 7th International Conference on Body Area Networks

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In this paper we present a model accounting for dynamic intra-Wireless Body Area Network (WBAN) ranging errors based on Impulse Radio-Ultra Wideband (IR-UWB) Time Of Arrival (TOA) estimation in the [3.1, 5.1]GHz and [3.75, 4.25]GHz frequency bands. The latter is compliant with one mandatory band imposed by the IEEE 802.15.6 standardization group. Relying on time-variant on-body channel measurements, we draw our ranging error model as a mixture-based conditional probability density function, taking into account i) dynamic Signal to Noise Ratio (SNR) variations and ii) channel obstruction conditions, i.e. Line Of Sight (LOS) vs. Non Line Of Sight (NLOS), experienced over representative on-body links while walking. The density parameters evolution is thus characterized as a function of the previous channel and SNR configurations, illustrating e.g. missed/false path detection effects under low SNR. Ultimately this self-contained model could be incorporated within realistic simulations for motion capture and/or localization based on the IR-UWB WBAN technology.

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Section: Intra-wban Toa-based Ranging 21 Single-link On-body Multipamentioning

confidence: 99%

Section: Multipath Extraction Out Of Channel Measurementsmentioning

confidence: 99%

Section: Multipath Extraction Out Of Channel Measurementsmentioning

confidence: 99%

Section: Emulated Toa Estimates and Conditional Error Regimesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation

Hamie¹,

Denis²,

D'ERRICO³

et al. 2012

Proceedings of the 7th International Conference on Body Area Networks

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A review of radio channel models for body centric communications

2014

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The human body is an extremely challenging environment for the operation of wireless communications systems, not least because of the complex antenna-body electromagnetic interaction effects which can occur. This is further compounded by the impact of movement and the propagation characteristics of the local environment which all have an effect upon body centric communications channels. As the successful design of body area networks (BANs) and other types of body centric system is inextricably linked to a thorough understanding of these factors, the aim of this paper is to conduct a survey of the current state of the art in relation to propagation and channel models primarily for BANs but also considering other types of body centric communications. We initially discuss some of the standardization efforts performed by the Institute of Electrical and Electronics Engineers 802.15.6 task group before focusing on the two most popular types of technologies currently being considered for BANs, namely narrowband and Ultrawideband (UWB) communications. For narrowband communications the applicability of a generic path loss model is contended, before presenting some of the scenario specific models which have proven successful. The impacts of human body shadowing and small-scale fading are also presented alongside some of the most recent research into the Doppler and time dependencies of BANs. For UWB BAN communications, we again consider the path loss as well as empirical tap delay line models developed from a number of extensive channel measurement campaigns conducted by research institutions around the world. Ongoing efforts within collaborative projects such as Committee on Science and Technology Action IC1004 are also described. Finally, recent years have also seen significant developments in other areas of body centric communications such as off-body and body-to-body communications. We highlight some of the newest relevant research in these areas as well as discussing some of the advanced topics which are currently being addressed in the field of body centric communications.

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Communication Systems for Body Area Networks

2020

Body Sensor Networking, Design and Algorithms

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Time-variant BAN channel characterization

Cited by 61 publications

References 8 publications

Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation

Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation

A review of radio channel models for body centric communications

Communication Systems for Body Area Networks

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