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...
| Κύριοι συγγραφείς: | Kumar, S, Hegde, RM, Trigoni, N |
|---|---|
| Μορφή: | Journal article |
| Γλώσσα: | English |
| Έκδοση: |
Elsevier
2016
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Lightweight Workload Fingerprinting Localization Using Affinity Propagation Clustering and Gaussian Process Regression
ανά: Santosh Subedi, κ.ά.
Έκδοση: (2018-12-01) -
An Adaptive Bluetooth/Wi-Fi Fingerprint Positioning Method based on Gaussian Process Regression and Relative Distance
ανά: Hongji Cao, κ.ά.
Έκδοση: (2019-06-01) -
Fingerprint Positioning Method for Dual-Band Wi-Fi Based on Gaussian Process Regression and K-Nearest Neighbor
ανά: Hongji Cao, κ.ά.
Έκδοση: (2021-10-01) -
Gaussian process on regression
ανά: Lee, Kenneth Jing Wei
Έκδοση: (2023) -
Regression-Based Estimation of Individual Errors in Fingerprinting Localization
ανά: Filip Lemic, κ.ά.
Έκδοση: (2019-01-01)