A Fade-Level Skew-Laplace Signal Strength Model for Device-Free Localization with Wireless Networks

Wilson, Joey; Patwari, Neal

doi:10.1109/tmc.2011.102

Cited by 173 publications

(170 citation statements)

References 15 publications

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“…The behaviour of the radio links is further analysed in [12]. In general, RSSI values are unstable and always slightly fluctuating because of minimal changes in the environment.…”

Section: Related Workmentioning

confidence: 99%

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Accurate Event Detection and Velocity Estimation in Wireless Environments

Brockmann¹,

Jungen²,

Shih³

et al. 2016

Annals of Computer Science and Information Systems

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Abstract-Radio signals can be used to detect the presence of a person (target) in an environment by analysing the fluctuations in the Received Signal Strength Indicator (RSSI). The velocity of the target can be estimated by examining the sequence of disturbances in consecutive radio links over a period of time. This requires knowledge of the deployment of the radio transceivers and the time when the target crosses the Line of Sight (LoS) of each radio link. However, it is not trivial to precisely estimate the exact time of the link crossing due to the broad range of RSSI fluctuations generated as the target approaches the link. In this paper, we evaluate and compare 15 techniques for estimating the velocity of the target and propose enhancements to some of the techniques. In our experiments the techniques perform with an average accuracy in the range between 13.02% and 96.18%, which corresponds to an average error of 0.05m/s for a moving target.

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“…The behaviour of the radio links is further analysed in [12]. In general, RSSI values are unstable and always slightly fluctuating because of minimal changes in the environment.…”

Section: Related Workmentioning

confidence: 99%

“…Slight variations in the area, for example moving a chair or opening a window, can have a huge impact on the radio propagation. Despite that, [12] defines two classes of observed link behaviour when a target enters the link. Both are based on the different qualities of a link.…”

Section: Related Workmentioning

confidence: 99%

Accurate Event Detection and Velocity Estimation in Wireless Environments

Brockmann¹,

Jungen²,

Shih³

et al. 2016

Annals of Computer Science and Information Systems

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“…where P c is the transmit power of the nodes, L l,c the large scale path loss, S l,c the shadowing loss, F l,c the fading gain (or fade level [25]), η l,c the measurement noise, and F = {1, . .…”

Section: Link Line Crossing and Fade Levelmentioning

confidence: 99%

“…The relation between human-induced RSS changes and steady-state narrowband fading has been modeled in [25] by using the concept of fade level. The fade level of a link varies in between two extremes, namely an anti-fade state and a deep fade state.…”

Section: Link Line Crossing and Fade Levelmentioning

confidence: 99%

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Radio Tomographic Imaging for Ambient Assisted Living

Bocca

Kaltiokallio

Patwari

2013

Communications in Computer and Information Science

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Abstract. Accurate localization of people in indoor and domestic environments is one of the key requirements for ambient assisted living (AAL) systems. This chapter describes how the received signal strength (RSS) measurements collected by a network of static radio transceivers can be used to localize people without requiring them to wear or carry any radio device. We describe a technique named radio tomographic imaging (RTI), which produces real-time images of the change in the radio propagation field of the monitored area caused by the presence of people. People's locations are inferred from the estimated RTI images. We show results from a long-term deployment in a typical single floor, one bedroom apartment. In order to deal with the dynamic nature of the domestic environment, we introduce methods to make the RTI system self-calibrating. Experimental results show that the average localization error of the system is 0.23 m. Moreover, the system is capable of adapting to the changes in the indoor environment, achieving high localization accuracy over an extended period of time.

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