Name
Title | ||
|---|---|---|
Received Signal Strength Based Indoor Positioning Using a Random Vector Functional Link Network. |
Abstract | ||
|---|---|---|
Fingerprinting based indoor positioning system is gaining more research interest under the umbrella of location-based services. However, existing works have certain limitations in addressing issues such as noisy measurements, high computational complexity, and poor generalization ability. In this work, a random vector functional link network based approach is introduced to address these issues. In... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TII.2017.2760915 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Databases,Wireless fidelity,Training,Informatics,Noise measurement,IP networks,Mobile handsets | Informatics,Noise measurement,Distributed Computing Environment,Computer science,Real-time computing,Augmented Lagrangian method,Multivariate random variable,Signal strength,Computer engineering,Indoor positioning system,Computational complexity theory | Journal |
Volume | Issue | ISSN |
14 | 5 | 1551-3203 |
Citations | PageRank | References |
9 | 0.46 | 0 |
Authors | ||
7 | ||