2018
DOI: 10.1007/978-3-319-73450-7_78
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An Adaptive-Bounds Band-Pass Moving-Average Filter to Increase Precision on Distance Estimation from Bluetooth RSSI

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Cited by 4 publications
(5 citation statements)
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“…They show that BLE outperforms WLAN in terms of the localization performance using WCL. In our work, we utilize RSSI directly without applying any sophisticated smoothing methods [33]. We compute the weights using the Weighted Path Loss Localization (WPLL) algorithm [35].…”
Section: A Indoor Localizationmentioning
confidence: 99%
“…They show that BLE outperforms WLAN in terms of the localization performance using WCL. In our work, we utilize RSSI directly without applying any sophisticated smoothing methods [33]. We compute the weights using the Weighted Path Loss Localization (WPLL) algorithm [35].…”
Section: A Indoor Localizationmentioning
confidence: 99%
“…Hay una pérdida del 6 % con respecto a la ventana mínima en los datasets de base, pero esta puede considerarse razonable. El principal beneficio de este cálculo es haber obtenido un punto de equilibrio entre todos los datasets, mediante la optimización multiobjetivo, con una reducción de error equilibrada, que no va en detrimento de ninguna combinación de equipos [32] y que sin embargo mantiene una importante mejora del 40% en la exactitud en la estimación de la distancia, superando ampliamente los resultados de trabajos previos donde la ventana se asignaba ad-hoc [8]- [10].…”
Section: Análisis De Resultadosunclassified
“…En el campo de las balizas Bluetooth Low Energy, Heo y Kwon [7] usan teléfonos inteligentes como receptores y proponen un algoritmo que mediante compensación de la señal del giroscopio es utilizado para reducir el ruido en la señal RSSI. Cabrera et al [8]- [10] generan un prototipo de sistema IPS utilizando RSSI, Bluetooth y dispositivos Android de consumidor en el cual prueban filtros de media móvil con pequeñas ventanas y proponen el filtro de banda pasante con límites adaptativos. Onofre et al [11] usan lógica difusa para solventar el problema de la inexactitud en la estimación.…”
Section: Introductionunclassified
See 1 more Smart Citation
“…Most BLE positioning techniques rely on Radio Signal Strength Indicator (RSSI) values, but RSSI is an unreliable indicator of distance because it is sensitive to obstructions and is thus subject to noise [24]. This is referred to as the multi-path problem [25].…”
Section: Ble Positioning Methodologiesmentioning
confidence: 99%