RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping
AbstractIndoor RF-based localization using fingerprint mapping requires an initial training step, which represents a time consuming process. This location methodology needs a database conformed with RSSI (Radio Signal Strength Indicator) measures from the communication transceivers taken at specific locations within the localization area. But, the real world localization environment is dynamic and it is necessary to rebuild the fingerprint database when some environmental changes are made. This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. Also, different distributions of test maps and reference points have been evaluated, showing the validity of this proposal and necessary trade-offs. Results reported show that the same or similar localization accuracy can be achieved even when only 50% of the initial fingerprint reference points are taken. View Full-Text
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Ezpeleta, S.; Claver, J.M.; Pérez-Solano, J.J.; Martí, J.V. RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping. Sensors 2015, 15, 27322-27340.
Ezpeleta S, Claver JM, Pérez-Solano JJ, Martí JV. RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping. Sensors. 2015; 15(10):27322-27340.Chicago/Turabian Style
Ezpeleta, Santiago; Claver, José M.; Pérez-Solano, Juan J.; Martí, José V. 2015. "RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping." Sensors 15, no. 10: 27322-27340.