Geometrical Modeling of Non-Stationary Polarimetric Vehicular Radio Channels

Gutiérrez, Carlos; Ornelas-Lizcano, Juan C.; Pätzold, Matthias

doi:10.1109/cavs.2019.8887811

Cited by 2 publications

(2 citation statements)

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“…The absolute value of

also characterizes the PLF between

and

. However, the difference between

and

is that the former incorporates effects of depolarization caused by the reflection from the

static object [ 12 ]. In turn, the NLOS component of

stemming from the reflection off the falling person is modeled by

…”

Section: Signal Modelmentioning

confidence: 99%

“…Previous research has not addressed the impact of some important physical layer factors on the system’s sensing capabilities, such as the variations of the antenna response with spatial orientation. These variations stem from the angular dependence of the antenna’s radiation pattern, and also from the polarization mismatch between the transmitter (

) and the receiver (

) due to channel depolarization effects [ 12 ]. To the best of the authors knowledge, a detailed investigation of the impact of the radiation pattern’s anisotropy and antenna polarization mismatch on the performance of WiFi-based fall detection systems has not been conducted so far.…”

Section: Introductionmentioning

confidence: 99%

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Influence of the Antenna Orientation on WiFi-Based Fall Detection Systems

Cardenas

Gutiérrez

Aguilar-Ponce

2021

Sensors

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The growing elderly population living independently demands remote systems for health monitoring. Falls are considered recurring fatal events and therefore have become a global health problem. Fall detection systems based on WiFi radio frequency signals still have limitations due to the difficulty of differentiating the features of a fall from other similar activities. Additionally, the antenna orientation has not been taking into account as an influencing factor of classification performance. Therefore, we present in this paper an analysis of the classification performance in relation to the antenna orientation and the effects related to polarization and radiation pattern. Furthermore, the implementation of a device-free fall detection platform to collect empirical data on falls is shown. The platform measures the Doppler spectrum of a probe signal to extract the Doppler signatures generated by human movement and whose features can be used to identify falling events. The system explores two antenna polarization: horizontal and vertical. The accuracy reached by horizontal polarization is 92% with a false negative rate of 8%. Vertical polarization achieved 50% accuracy and false negatives rate.

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“…The absolute value of

also characterizes the PLF between

and

. However, the difference between

and

is that the former incorporates effects of depolarization caused by the reflection from the

static object [ 12 ]. In turn, the NLOS component of

stemming from the reflection off the falling person is modeled by

…”

Section: Signal Modelmentioning

confidence: 99%