2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) 2018
DOI: 10.1109/wcncw.2018.8369015
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Localization for capsule endoscopy at UWB frequencies using an experimental multilayer phantom

Abstract: Localization inside the human body using ultrawideband (UWB) wireless technology is gaining importance in several medical applications such as capsule endoscopy. Performance analysis of RF based localization techniques are mainly conducted through simulations using numerical human models or through experimental measurements using homogeneous phantoms. One of the most common implemented RF localization approaches uses the received signal strength (RSS). However, to the best of our knowledge, no experimental mea… Show more

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Cited by 10 publications
(11 citation statements)
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References 17 publications
(16 reference statements)
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“…Particularly, the combination of receivers 2,4 and 3, taken as reference, leads to lower relative error values compared to the other combinations, as it is experiencing on average the highest level of received power [35], [36]. Similar results were obtained for the same combinations of receivers in a narrower frequency band (3.1-4.1 GHz) [32].…”
Section: B 2d Localization Resultssupporting
confidence: 67%
See 1 more Smart Citation
“…Particularly, the combination of receivers 2,4 and 3, taken as reference, leads to lower relative error values compared to the other combinations, as it is experiencing on average the highest level of received power [35], [36]. Similar results were obtained for the same combinations of receivers in a narrower frequency band (3.1-4.1 GHz) [32].…”
Section: B 2d Localization Resultssupporting
confidence: 67%
“…3). In order to estimate the in-body antenna coordinates the adaptive linearized method described in [31] is adapted [32] and implemented for the two dimensional case. Three receivers are needed to find the unique solution of the linearized system of two equations in two unknowns.…”
Section: A 2d Phantom-based Post-processingmentioning
confidence: 99%
“…Ranging distance estimation is performed as in [23] by using the log-distance path loss model evaluated from the measured 21 S , for each in-body to on-body antenna position. Then, the coordinates of the in-body antenna are estimated using the Non Linear Least Square method described in [24].…”
Section: Rss-based Localization Algorithmmentioning
confidence: 99%
“…Measured reflection coefficients of the transmitting and the receiving antennas inside muscle phantom Measurement Grid Setup[18].…”
mentioning
confidence: 99%