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- W2972776893 abstract "Location awareness is vital for emerging Internet-of-Things applications and opens a new era for Localization-of-Things. This paper first reviews the classical localization techniques based on single-value metrics, such as range and angle estimates, and on fixed measurement models, such as Gaussian distributions with mean equal to the true value of the metric. Then, it presents a new localization approach based on soft information (SI) extracted from intra- and inter-node measurements, as well as from contextual data. In particular, efficient techniques for learning and fusing different kinds of SI are described. Case studies are presented for two scenarios in which sensing measurements are based on: 1) noisy features and non-line-of-sight detector outputs and 2) IEEE 802.15.4a standard. The results show that SI-based localization is highly efficient, can significantly outperform classical techniques, and provides robustness to harsh propagation conditions." @default.
- W2972776893 created "2019-09-19" @default.
- W2972776893 creator A5015500569 @default.
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- W2972776893 creator A5063455689 @default.
- W2972776893 creator A5067048409 @default.
- W2972776893 creator A5073709764 @default.
- W2972776893 date "2019-11-01" @default.
- W2972776893 modified "2023-10-15" @default.
- W2972776893 title "Soft Information for Localization-of-Things" @default.
- W2972776893 cites W1482632304 @default.
- W2972776893 cites W1518778703 @default.
- W2972776893 cites W1539360532 @default.
- W2972776893 cites W1562000190 @default.
- W2972776893 cites W1571843546 @default.
- W2972776893 cites W1587941348 @default.
- W2972776893 cites W1615912037 @default.
- W2972776893 cites W1848594422 @default.
- W2972776893 cites W1898843043 @default.
- W2972776893 cites W1945674169 @default.
- W2972776893 cites W1965006965 @default.
- W2972776893 cites W1965665622 @default.
- W2972776893 cites W1967845942 @default.
- W2972776893 cites W1968046596 @default.
- W2972776893 cites W1969414067 @default.
- W2972776893 cites W1970273695 @default.
- W2972776893 cites W1970319972 @default.
- W2972776893 cites W1976867558 @default.
- W2972776893 cites W1980523726 @default.
- W2972776893 cites W1982401839 @default.
- W2972776893 cites W1983732668 @default.
- W2972776893 cites W1988543519 @default.
- W2972776893 cites W1989938687 @default.
- W2972776893 cites W1991762554 @default.
- W2972776893 cites W1991777028 @default.
- W2972776893 cites W1993371327 @default.
- W2972776893 cites W1997917355 @default.
- W2972776893 cites W1998282176 @default.
- W2972776893 cites W2003964420 @default.
- W2972776893 cites W2004215803 @default.
- W2972776893 cites W2004775290 @default.
- W2972776893 cites W2006805041 @default.
- W2972776893 cites W2007367530 @default.
- W2972776893 cites W2009480643 @default.
- W2972776893 cites W2011482625 @default.
- W2972776893 cites W2012197287 @default.
- W2972776893 cites W2012462772 @default.
- W2972776893 cites W2013007872 @default.
- W2972776893 cites W2015402294 @default.
- W2972776893 cites W2024085225 @default.
- W2972776893 cites W2028082528 @default.
- W2972776893 cites W2030008050 @default.
- W2972776893 cites W2031211320 @default.
- W2972776893 cites W2031404010 @default.
- W2972776893 cites W2036113878 @default.
- W2972776893 cites W2038946940 @default.
- W2972776893 cites W2040832208 @default.
- W2972776893 cites W2049526524 @default.
- W2972776893 cites W2054377514 @default.
- W2972776893 cites W2056427752 @default.
- W2972776893 cites W2057554090 @default.
- W2972776893 cites W2058401212 @default.
- W2972776893 cites W2063222908 @default.
- W2972776893 cites W2065070128 @default.
- W2972776893 cites W2065831797 @default.
- W2972776893 cites W2070969654 @default.
- W2972776893 cites W2071576005 @default.
- W2972776893 cites W2075744751 @default.
- W2972776893 cites W2079251198 @default.
- W2972776893 cites W2084706060 @default.
- W2972776893 cites W2090192367 @default.
- W2972776893 cites W2092323252 @default.
- W2972776893 cites W2093993496 @default.
- W2972776893 cites W2094697021 @default.
- W2972776893 cites W2095522552 @default.
- W2972776893 cites W2097576376 @default.
- W2972776893 cites W2098049769 @default.
- W2972776893 cites W2099208041 @default.
- W2972776893 cites W2100123768 @default.
- W2972776893 cites W2101417447 @default.
- W2972776893 cites W2102005989 @default.
- W2972776893 cites W2102664783 @default.
- W2972776893 cites W2102914531 @default.
- W2972776893 cites W2103227205 @default.
- W2972776893 cites W2103375723 @default.
- W2972776893 cites W2104192126 @default.
- W2972776893 cites W2104377048 @default.
- W2972776893 cites W2104511008 @default.
- W2972776893 cites W2104925554 @default.
- W2972776893 cites W2105738738 @default.
- W2972776893 cites W2105934661 @default.
- W2972776893 cites W2107503352 @default.
- W2972776893 cites W2109499745 @default.
- W2972776893 cites W2110407935 @default.
- W2972776893 cites W2110622756 @default.
- W2972776893 cites W2110746348 @default.
- W2972776893 cites W2110798624 @default.
- W2972776893 cites W2110820763 @default.