Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel
Clusters produced by multipath clusterization were comparatively evaluated using the directional power spectrum of the measured channel, which was obtained by polarimetric beamforming due to the dual-polarized nature of the channel sounding data. The clusters were from the results of the clusterizat...
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oai:animorepository.dlsu.edu.ph:faculty_research-90512023-02-22T05:30:37Z Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki Clusters produced by multipath clusterization were comparatively evaluated using the directional power spectrum of the measured channel, which was obtained by polarimetric beamforming due to the dual-polarized nature of the channel sounding data. The clusters were from the results of the clusterization of maximum-likelihood-based path parameter estimates of a macrocell channel. The approach provides a way to render the physical meaning of clustering results in line with the measured channel. The result shows some slight offset from the measured channel, nevertheless, the cluster locations were comparable. 2010-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/8403 Faculty Research Work Animo Repository Power spectra MIMO systems Systems and Communications |
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Power spectra MIMO systems Systems and Communications Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel |
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Clusters produced by multipath clusterization were comparatively evaluated using the directional power spectrum of the measured channel, which was obtained by polarimetric beamforming due to the dual-polarized nature of the channel sounding data. The clusters were from the results of the clusterization of maximum-likelihood-based path parameter estimates of a macrocell channel. The approach provides a way to render the physical meaning of clustering results in line with the measured channel. The result shows some slight offset from the measured channel, nevertheless, the cluster locations were comparable. |
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Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki |
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Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki |
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Materum, Lawrence Y. |
title |
Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel |
title_short |
Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel |
title_full |
Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel |
title_fullStr |
Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel |
title_full_unstemmed |
Polarimetric beamforming comparison of the multipath clusterization of ML estimates and the measurement data of a MIMO macrocell channel |
title_sort |
polarimetric beamforming comparison of the multipath clusterization of ml estimates and the measurement data of a mimo macrocell channel |
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Animo Repository |
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2010 |
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https://animorepository.dlsu.edu.ph/faculty_research/8403 |
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