Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters
Design and development of MIMO communication systems require a comprehensive analysis of channel characteristics. In real-world applications, the channel consists of randomly propagating signals that travel in two or more paths called multipaths. Literature shows an approach of analyzing the channel...
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oai:animorepository.dlsu.edu.ph:faculty_research-35932021-10-19T01:17:19Z Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters Roque, Marielle Anne Materum, Lawrence Design and development of MIMO communication systems require a comprehensive analysis of channel characteristics. In real-world applications, the channel consists of randomly propagating signals that travel in two or more paths called multipaths. Literature shows an approach of analyzing the channel, which is knowing the number of clusters or groupings of these multipaths. This paper presents a development of an interface featuring a factor weighing approach in determining the number of clusters. Different visualizations and evaluation results are shown in the interface that allows users to visually compare and analyze the proposed method. Further, the paper shows the consistency of the results since it matches the analysis of the novel approach proposed by the authors. © 2019, World Academy of Research in Science and Engineering. All rights reserved. 2019-07-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2594 Faculty Research Work Animo Repository MIMO systems Radio wave propagation Electrical and Electronics Systems and Communications |
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MIMO systems Radio wave propagation Electrical and Electronics Systems and Communications Roque, Marielle Anne Materum, Lawrence Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
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Design and development of MIMO communication systems require a comprehensive analysis of channel characteristics. In real-world applications, the channel consists of randomly propagating signals that travel in two or more paths called multipaths. Literature shows an approach of analyzing the channel, which is knowing the number of clusters or groupings of these multipaths. This paper presents a development of an interface featuring a factor weighing approach in determining the number of clusters. Different visualizations and evaluation results are shown in the interface that allows users to visually compare and analyze the proposed method. Further, the paper shows the consistency of the results since it matches the analysis of the novel approach proposed by the authors. © 2019, World Academy of Research in Science and Engineering. All rights reserved. |
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Roque, Marielle Anne Materum, Lawrence |
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Roque, Marielle Anne Materum, Lawrence |
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Roque, Marielle Anne |
title |
Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
title_short |
Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
title_full |
Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
title_fullStr |
Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
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Interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
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interface for the factor-inclusion weighting approach in determining the number of multipath propagation clusters |
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Animo Repository |
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2019 |
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https://animorepository.dlsu.edu.ph/faculty_research/2594 |
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