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Content Provider | IET Digital Library |
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Author | Souza, Matthew D' Schoots, Brendan Ros, Montserrat |
Abstract | Mobile indoor localisation has numerous uses for logistics and health applications. Current wireless localisation systems experience reliability difficulties in indoor environments due to interference and also require a large number of wireless access points to ensure position accuracy and resolution. Localisation using wireless channel propagation characteristics, such as radio-frequency (RF) receives signal strength are subject to wireless interference. The Fingerprint Context Aware Partitioning (FCAP) tracking model used received RF signal strength fingerprinting, combined with context aware information about the user's indoor environment. The authors show the use of context aware information in the FCAP model, reduces the effect of wireless interference and lowers the spatial density of access points required. The wireless localisation network consisted of reference nodes placed at locations in a building. Reference nodes are used by mobile nodes, to localise a user's position. The authors tested the FCAP model in a typical indoor environment and compared the performance and accuracy to other received signal strength indicator fingerprint localisation methods. They found the FCAP model had improved performance and was able to achieve a similar accuracy to other protocols, with fewer reference nodes. |
Starting Page | 1347 |
Ending Page | 1355 |
Page Count | 9 |
ISSN | 17518784 |
Volume Number | 10 |
e-ISSN | 17518792 |
Issue Number | Issue 8, Oct (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/10/8 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0396 |
Journal | IET Radar, Sonar & Navigation |
Publisher Date | 2016-03-17 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Electromagnetic Compatibility FCAP Tracking Model Indoor Navigation Indoor Position Tracking Interference Mobile Indoor Localisation Radio Frequency Interference Radio Navigation And Direction Finding Radio Tracking Received RF Signal Strength Fingerprinting Received Signal Strength-based Fingerprint Context Aware Partitioning Model Reference Node RSSI Spatial Density User Indoor Environments Wireless Access Point Wireless Channel Wireless Channel Propagation Characteristic Wireless Interference Wireless Localisation Network Wireless Localisation System |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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