Robust Indoor Positioning Provided by Real-Time RSSI Values in Unmodified WLAN Networks
By Santiago Mazuelas, Alfonso Bahillo, Rubén M. Lorenzo, Patricia Fernández, Francisco A. Lago, Eduardo Garcia, Juan Blas, Evaristo J. Abril. IEEE Journal on Selected Topics in Signal Processing, 2009
456 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/f78c081c3a22049bf1fec8f95caadf00ab536626
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Electrical and Electronic Engineering
- José Carlos Prieto
- Petros Spachos
- Jorge I. Guevara Rosas
- Fernando Seco Granja
- Antonio Ramón Jiménez Ruiz
- Sebastian Sadowski
In Ocean Engineering
- José Carlos Prieto
- Petros Spachos
- Jorge I. Guevara Rosas
- Fernando Seco Granja
- Antonio Ramón Jiménez Ruiz
- Sebastian Sadowski
Citations in the corpus
- Accurate Pedestrian Indoor Navigation by Tightly Coupling Foot-Mounted IMU and RFID Measurements (2012, methodology): “The RSS-centric approach is focused in position estimation from the RSS data (by fingerprinting, Bayesian estimation or fitting data to a path-loss model); some corrections from the inertial sensor (in the form of incremental stride distances traveled) are fed into the estimation filter to improve t”
- Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons (2016, methodology): “The mostly used model is the lognormal shadowing model as follows [30,31]: P pdq “ P pd0q ́ 10γlog10 ˆ”
- RSSI-Based Indoor Localization With the Internet of Things (2018, methodology): “RSSI is one of the most popular and simplest methods for localization [21]–[23].”