Radio map estimation with sparse wireless fingerprints for urban localisation
The usage of indoor WiFi access points (APs) for localisation is essential when Global Positioning System (GPS) signals are disrupted by the presence of buildings. However, many APs are detected in each scan during the localisation process. Having so many APs to process results in a higher con...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/181666 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The usage of indoor WiFi access points (APs) for localisation is essential when Global
Positioning System (GPS) signals are disrupted by the presence of buildings. However,
many APs are detected in each scan during the localisation process. Having so many APs
to process results in a higher consumption of power which drains the battery life of the
device. A solution which addresses this issue is to filter out some APs and process the
remaining ones. However, lesser APs also implies less accurate locating. Therefore, this
project aims to determine the optimum number of APs which can be used for processing
and at the same time, provide acceptable locating accuracy. |
|---|