التفاصيل البيبلوغرافية
| العنوان: |
Environment-Aware Regression for Indoor Localization Based on WiFi Fingerprinting. |
| المؤلفون: |
Mendoza-Silva, German Martin, Costa, Ana Cristina, Torres-Sospedra, Joaquin, Painho, Marco, Huerta, Joaquin |
| المصدر: |
IEEE Sensors Journal; 3/15/2022, Vol. 22 Issue 6, p4978-4988, 11p |
| مستخلص: |
Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples and proposes a new model for received signal strength regression. The new model creates vectors that describe the presence of obstacles between an access point and the collected samples. The vectors, the distance between the access point and the positions of the samples, and the collected, are used to train a Support Vector Regression. The experiments included some relevant analyses and showed that the proposed model improves received signal strength regression in terms of regression residuals and positioning accuracy. [ABSTRACT FROM AUTHOR] |
|
Copyright of IEEE Sensors Journal is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
