Research Article
Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation
@INPROCEEDINGS{10.4108/icst.bodynets.2012.249934, author={Jihad HAMIE and Benoit DENIS and Raffaele D'ERRICO and Cedric RICHARD}, title={Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation}, proceedings={7th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2012}, month={11}, keywords={body shadowing ieee 802156 impulse radio non line-of-sight on-body propagation ranging error time of arrival ultra wideband wireless body area network}, doi={10.4108/icst.bodynets.2012.249934} }- Jihad HAMIE
Benoit DENIS
Raffaele D'ERRICO
Cedric RICHARD
Year: 2012
Empirical Modeling of Intra-BAN Ranging Errors Based on IR-UWB TOA Estimation
BODYNETS
ICST
DOI: 10.4108/icst.bodynets.2012.249934
Abstract
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 variations and ii) channel obstruction conditions, i.e. Line Of Sight vs. Non Line Of Sight, 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. Ultimately this self-contained model could be incorporated within realistic simulations for motion capture and/or localization based on the IR-UWB WBAN technology.