Novel Fine-Tuned Attribute Weighted Naïve Bayes NLoS Classifier for UWB Positioning Article Swipe
Fuhu Che
,
Qasim Zeeshan Ahmed
,
Fahd Ahmed Khan
,
Faheem A. Khan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/lcomm.2023.3249834
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/lcomm.2023.3249834
In this letter, we propose a novel Fine-Tuned attribute Weighted Naïve Bayes (FT-WNB) classifier to identify the Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) for UltraWide Bandwidth (UWB) signals in an Indoor Positioning System (IPS). The FT-WNB classifier assigns each signal feature a specific weight and fine-tunes its probabilities to address the mismatch between the predicted and actual class. The performance of the FT-WNB classifier is compared with the state-of-the-art Machine Learning (ML) classifiers such as minimum Redundancy Maximum Relevance (mRMR)- k -Nearest Neighbour (KNN), Support Vector Machine (SVM), Decision Tree (DT), Naïve Bayes (NB), and Neural Network (NN). It is demonstrated that the proposed classifier outperforms other algorithms by achieving a high NLoS classification accuracy of 99.7% with imbalanced data and 99.8% with balanced data. The experimental results indicate that our proposed FT-WNB classifier significantly outperforms the existing state-of-the-art ML methods for LoS and NLoS signals in IPS in the considered scenario.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/lcomm.2023.3249834
- OA Status
- green
- Cited By
- 12
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4322576437
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4322576437Canonical identifier for this work in OpenAlex
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https://doi.org/10.1109/lcomm.2023.3249834Digital Object Identifier
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Novel Fine-Tuned Attribute Weighted Naïve Bayes NLoS Classifier for UWB PositioningWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
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2023-02-27Full publication date if available
- Authors
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Fuhu Che, Qasim Zeeshan Ahmed, Fahd Ahmed Khan, Faheem A. KhanList of authors in order
- Landing page
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https://doi.org/10.1109/lcomm.2023.3249834Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://pure.hud.ac.uk/en/publications/d827bec3-eba4-4841-ba66-da4f53e542afDirect OA link when available
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Naive Bayes classifier, Non-line-of-sight propagation, Artificial intelligence, Computer science, Classifier (UML), Support vector machine, Artificial neural network, Pattern recognition (psychology), Machine learning, Bayes' theorem, Quadratic classifier, Bayesian probability, Wireless, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
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12Total citation count in OpenAlex
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2025: 5, 2024: 6, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Communications Letters |
| primary_location.landing_page_url | https://doi.org/10.1109/lcomm.2023.3249834 |
| publication_date | 2023-02-27 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3111425395, https://openalex.org/W2966035132, https://openalex.org/W3001043111, https://openalex.org/W2996735343, https://openalex.org/W2922240662, https://openalex.org/W3023622710, https://openalex.org/W4206997880, https://openalex.org/W2964029185, https://openalex.org/W4292972351, https://openalex.org/W3134499048, https://openalex.org/W3033032209, https://openalex.org/W3118145897, https://openalex.org/W3192862439, https://openalex.org/W4293704597, https://openalex.org/W2075744751, https://openalex.org/W3126771108, https://openalex.org/W4312268162 |
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