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

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

doi:10.3390/s20247090

Cited by 22 publications

(26 citation statements)

References 24 publications

(35 reference statements)

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“…To further increase the accuracy of the UWB DFL system, the multipath propagation can be exploited. In [ 53 ], the amplitude and the phase information (MAMPI) were extracted from the UWB CIR measurements, and a propagation model was proposed that calculates the effect of the person on the received signal. The system was evaluated by simulations and four sensor nodes with Decawave DW1000 that measure UWB CIR.…”

Section: Related Workmentioning

confidence: 99%

UWB Radio-Based Motion Detection System for Assisted Living

Bregar

Hrovat

Mohorčič

2021

Sensors

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Because of the ageing population, the demand for assisted living solutions that can help prolonging independent living of elderly at their homes with reduced interaction with caregivers is rapidly increasing. One of the most important indicators of the users’ well-being is their motion and mobility inside their homes, used either on its own or as contextual information for other more complex activities such as cooking, housekeeping or maintaining personal hygiene. In monitoring users’ mobility, radio frequency (RF) communication technologies have an advantage over optical motion detectors because of their penetrability through the obstacles, thus covering greater areas with fewer devices. However, as we show in this paper, RF links exhibit large variations depending on channel conditions in operating environment as well as the level and intensity of motion, limiting the performance of the fixed motion detection threshold determined on offline or batch measurement data. Thus, we propose a new algorithm with an online adaptive motion detection threshold that makes use of channel impulse response (CIR) information of the IEEE 802.15.4 ultra-wideband (UWB) radio, which comprises an easy-to-install robust motion detection system. The online adaptive motion detection (OAMD) algorithm uses a sliding window on the last 100 derivatives of power delay profile (PDP) differences and their statistics to set the threshold for motion detection. It takes into account the empirically confirmed observation that motion manifests itself in long-tail samples or outliers of PDP differences’ probability density function. The algorithm determines the online threshold by calculating the statistics on the derivatives of the 100 most recent PDP differences in a sliding window and scales them up in the suitable range for PDP differences with multiplication factors defined by a data-driven process using measurements from representative operating environments. The OAMD algorithm demonstrates great adaptability to various environmental conditions and exceptional performance compared to the offline batch algorithm. A motion detection solution incorporating the proposed highly reliable algorithm can complement and enhance various assisted living technologies to assess user’s well-being over long periods of time, detect critical events and issue warnings or alarms to caregivers.

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Section: Related Workmentioning

confidence: 99%

UWB Radio-Based Motion Detection System for Assisted Living

Bregar

Hrovat

Mohorčič

2021

Sensors

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“…The knife-edge model describes the influence on the magnitude and phase of an obstacle, such as a person, on the transmitted radio waves. For further information on the diffraction model for a devicefree localization system, we refer to [10].…”

Section: A Diffraction Modelmentioning

confidence: 99%

“…The components F front (v front ) and F back (v back ) of the propagation model characterize the diffraction effects, caused by an obstacle, to a signal for a given frequency. In [10], the complex Fresnel integrals were calculated for the center frequency of an ultra-wideband pulse to model the total attenuation of the signal for a device-free localization application. We describe the enhancement and application of the free-space diffraction model for underwater (pulse-echo) multipath propagation in the rest of this section.…”

Section: A Diffraction Modelmentioning

confidence: 99%

“…The modeling of complex multipath propagation is achieved in the model by an arbitrary configurable number of refection components with path individual attenuation and delay. We superpose the signals with accurate phase in (10).…”

Section: Pulse Forming and Phase Accurate Superpositionmentioning

confidence: 99%

“…Our proposed model enables us to determine the ultrasonic propagation and evaluate different obstacles such as cables on the received signal. Inspired by the device-free localization model in [10], we present an extended analytical model for underwater ultrasonic wave propagation. The original radio propagation model provides a multipath fading channel's complex value based on knife-edge diffraction of obstacles.…”

Section: Introductionmentioning

confidence: 99%

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Underwater Ultrasonic Multipath Diffraction Model for Short Range Communication and Sensing Applications

2021

Self Cite

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In acoustic underwater communication and sonar applications, obstacles inside and outside the line-of-sight (LOS) affect signal propagation. Both reflection and diffraction occur in underwater communication and measurement systems due to these obstacles. To the best of our knowledge, the influence of diffraction and reflection is neither described nor modeled for finite pulses yet. We propose and develop a multipath propagation model for spectral diffraction components and phase information of the received signal based on knife-edge diffraction together with reflections, transmission effects, and backscatter. This paper designs a short range underwater ultrasonic experimental system composed of an ultrasonic transceiver with wideband pulses and advanced spectral signal processing. We evaluate our proposed model with measurements made in a water tank with an obstacle moved between the transmitter and receiver. When the model includes all major propagation components and effects, it achieves an accuracy for localization of 97 % of the results in the range of twice the obstacle diameter in our test setup.

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A comprehensive ultra-wideband dataset for non-cooperative contextual sensing

Bocus

Piechocki

2022

Sci Data

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Nowadays, an increasing amount of attention is being devoted towards passive and non-intrusive sensing methods. The prime example is healthcare applications, where on-body sensors are not always an option or in other applications which require the detection and tracking of unauthorized (non-cooperative) targets within a given environment. Therefore, in this paper we present a dataset consisting of measurements obtained from Radio-Frequency (RF) devices. Essentially, the dataset consists of Ultra-Wideband (UWB) data in the form of Channel Impulse Response (CIR), acquired via a Commercial Off-the-Shelf (COTS) UWB equipment. Approximately 1.6 hours of annotated measurements are provided, which are collected in a residential environment. This dataset can be used to passively track a target’s location in an indoor environment. Additionally, it can also be used to advance UWB-based Human Activity Recognition (HAR) since three basic human activities were recorded, namely, sitting, standing and walking. We anticipate that such datasets may be utilized to develop novel algorithms and methodologies for healthcare, smart homes and security applications.

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

Cited by 22 publications

References 24 publications

UWB Radio-Based Motion Detection System for Assisted Living

UWB Radio-Based Motion Detection System for Assisted Living

Underwater Ultrasonic Multipath Diffraction Model for Short Range Communication and Sensing Applications

A comprehensive ultra-wideband dataset for non-cooperative contextual sensing

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