Gaussian process regression for fingerprinting based localization
In this paper, Gaussian process regression (GPR) for fingerprinting based localization is presented. In contrast to general regression techniques, the GPR not only infers the posterior received signal strength (RSS) mean but also the variance at each fingerprint location. The GPR does take into acco...
Hlavní autoři: | Kumar, S, Hegde, RM, Trigoni, N |
---|---|
Médium: | Journal article |
Jazyk: | English |
Vydáno: |
Elsevier
2016
|
Podobné jednotky
-
Lightweight Workload Fingerprinting Localization Using Affinity Propagation Clustering and Gaussian Process Regression
Autor: Santosh Subedi, a další
Vydáno: (2018-12-01) -
An Adaptive Bluetooth/Wi-Fi Fingerprint Positioning Method based on Gaussian Process Regression and Relative Distance
Autor: Hongji Cao, a další
Vydáno: (2019-06-01) -
Fingerprint Positioning Method for Dual-Band Wi-Fi Based on Gaussian Process Regression and K-Nearest Neighbor
Autor: Hongji Cao, a další
Vydáno: (2021-10-01) -
Gaussian process on regression
Autor: Lee, Kenneth Jing Wei
Vydáno: (2023) -
Regression-Based Estimation of Individual Errors in Fingerprinting Localization
Autor: Filip Lemic, a další
Vydáno: (2019-01-01)