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NLOS Identification via AdaBoost for Wireless Network Localization.
- Source :
- IEEE Communications Letters; Dec2019, Vol. 23 Issue 12, p2234-2237, 4p
- Publication Year :
- 2019
-
Abstract
- To identify NLOS propagations for a high-resolution wireless localization system, a strong NLOS classifier is proposed via a machine learning algorithm named AdaBoost. Signal features are extracted to characterize the distinctions between LOS and NLOS, based on which a series of weak learners are primarily given. By training and re-sampling data iteratively, weak learners with the minimal classification error are selected and the weighted sum is boosted into a strong classifier. Simulations demonstrate that the proposed AdaBoost-based NLOS classifier can improve NLOS identification performance, leading to reduced positioning errors. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10897798
- Volume :
- 23
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- IEEE Communications Letters
- Publication Type :
- Academic Journal
- Accession number :
- 140335326
- Full Text :
- https://doi.org/10.1109/LCOMM.2019.2940023