Clustering method based on scatterer locations for indoor dynamic MIMO channel
This paper proposes novel clustering approach which utilizes scattering points obtained from the measurement-based ray tracer (MBRT). After that, multipath components (MPCs) were classified into clusters according to those scattering points. the performance of this algorithm was evaluated with 11 GH...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2016
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2742 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| id |
oai:animorepository.dlsu.edu.ph:faculty_research-3741 |
|---|---|
| record_format |
eprints |
| spelling |
oai:animorepository.dlsu.edu.ph:faculty_research-37412021-10-29T02:53:36Z Clustering method based on scatterer locations for indoor dynamic MIMO channel Hanpinitsak, Panawit Saito, Kentaro Takada, Junichi Kim, Minseok Materum, Lawrence This paper proposes novel clustering approach which utilizes scattering points obtained from the measurement-based ray tracer (MBRT). After that, multipath components (MPCs) were classified into clusters according to those scattering points. the performance of this algorithm was evaluated with 11 GHz channel sounding data in an indoor environment. The evaluation results showed that the MPCs were classified into the clusters and the cluster centroids were tracked accurately by utilizing the physical locations of MPCs in the proposed method. © 2016 European Association of Antennas and Propagation. 2016-05-31T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2742 Faculty Research Work Animo Repository Ray tracing algorithms MIMO systems Cluster analysis Electrical and Electronics |
| institution |
De La Salle University |
| building |
De La Salle University Library |
| continent |
Asia |
| country |
Philippines Philippines |
| content_provider |
De La Salle University Library |
| collection |
DLSU Institutional Repository |
| topic |
Ray tracing algorithms MIMO systems Cluster analysis Electrical and Electronics |
| spellingShingle |
Ray tracing algorithms MIMO systems Cluster analysis Electrical and Electronics Hanpinitsak, Panawit Saito, Kentaro Takada, Junichi Kim, Minseok Materum, Lawrence Clustering method based on scatterer locations for indoor dynamic MIMO channel |
| description |
This paper proposes novel clustering approach which utilizes scattering points obtained from the measurement-based ray tracer (MBRT). After that, multipath components (MPCs) were classified into clusters according to those scattering points. the performance of this algorithm was evaluated with 11 GHz channel sounding data in an indoor environment. The evaluation results showed that the MPCs were classified into the clusters and the cluster centroids were tracked accurately by utilizing the physical locations of MPCs in the proposed method. © 2016 European Association of Antennas and Propagation. |
| format |
text |
| author |
Hanpinitsak, Panawit Saito, Kentaro Takada, Junichi Kim, Minseok Materum, Lawrence |
| author_facet |
Hanpinitsak, Panawit Saito, Kentaro Takada, Junichi Kim, Minseok Materum, Lawrence |
| author_sort |
Hanpinitsak, Panawit |
| title |
Clustering method based on scatterer locations for indoor dynamic MIMO channel |
| title_short |
Clustering method based on scatterer locations for indoor dynamic MIMO channel |
| title_full |
Clustering method based on scatterer locations for indoor dynamic MIMO channel |
| title_fullStr |
Clustering method based on scatterer locations for indoor dynamic MIMO channel |
| title_full_unstemmed |
Clustering method based on scatterer locations for indoor dynamic MIMO channel |
| title_sort |
clustering method based on scatterer locations for indoor dynamic mimo channel |
| publisher |
Animo Repository |
| publishDate |
2016 |
| url |
https://animorepository.dlsu.edu.ph/faculty_research/2742 |
| _version_ |
1715215743890489344 |