Toward a highly accurate ambulatory system for clinical gait analysis via UWB radios
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
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.