Modeling the Magnitude and Phase of Multipath UWB Signals for the Use in Passive Localization

Cimdins, Marco; Schmidt, Sven Ole; Hellbrück, Horst

doi:10.1109/wpnc47567.2019.8970256

Cited by 9 publications

(11 citation statements)

References 12 publications

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“…Our multipath-assisted DFL system analyzes the magnitude and phase of all MPCs that are measured by the CIR. In [ 6 ] we have shown that this approach is applicable for arbitrary multipath components. Therefore, we determine the measured magnitudes of

of MPC1 and MPC2.…”

Section: Methodsmentioning

confidence: 99%

“…In [ 18 ], we model the impact of a person with a knife-edge diffraction model. Although the model has been derived for narrowband radio-frequency signals, we applied the model to the magnitude and phase values that are extracted from multipath components of CIR measurements [ 6 ]. In addition, Schmidhammer et al proposed a more complex radio propagation model for the calculation of the magnitude of the multipath components [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

“…Instead of using channel sounders, our system uses commercially available off-the-shelf UWB transceiver the DW1000 from Decawave. In contrast to our previous work in [ 6 ], we refine the signal processing to extract the multipath components from the CIR measurement.…”

Section: Related Workmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

“…In previous work, we have shown how to extract the magnitude and the phase for each unique multipath component from a channel impulse response. The response is measured by an off-the-shelf IEEE 802.15.4a compliant ultra-wideband transceiver: the Decawave DW1000 [ 6 ]. In this work, we extend our previous results and propose a multipath-assisted DFL system that is based on magnitude and phase measurements of a single sensor pair.…”

Section: Introductionmentioning

confidence: 99%

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MAMPI-UWB—Multipath-Assisted Device-Free Localization with Magnitude and Phase Information with UWB Transceivers

Cimdins

Schmidt

Hellbrück

2020

Sensors

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In this paper, we propose a multipath-assisted device-free localization (DFL) system that includes magnitude and phase information (MAMPI). The DFL system employs ultra-wideband (UWB) channel impulse response (CIR) measurements, enabling the extraction of several multipath components (MPCs) and thereby benefits from multipath propagation. We propose a radio propagation model that calculates the effect on the received signal based on the position of a person within a target area. Additionally, we propose a validated error model for the measurements and explain the creation of different feature vectors and extraction of the MPCs from Decawave DW1000 CIR measurements. We evaluate the system via simulations of the position error probability and a measurement setup in an indoor scenario. We compare the performance of MAMPI to a conventional DFL system based on four sensor nodes that measures radio signal strength values. The combination of the magnitude and phase differences for the feature vectors results in a position error probability that is comparable to a conventional system but requires only two sensor nodes.

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of MPC1 and MPC2.…”

Section: Methodsmentioning

confidence: 99%