CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals
This paper presents a novel algorithm, Coherent and Uncorrelated Sources Estimation using Tensor Decomposition (CUSE-TD), designed to enhance the accuracy of Direction of Arrival (DOA) estimation in Multiple-Input Multiple-Output (MIMO) systems. The CUSE-TD algorithm addresses the complex challenge...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10820334/ |
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| author | Rohini Dakulagi Ravi Raushan Soham Dutta Mohammed Theeb Alosaimi Miguel Villagomez-Galindo |
| author_facet | Rohini Dakulagi Ravi Raushan Soham Dutta Mohammed Theeb Alosaimi Miguel Villagomez-Galindo |
| author_sort | Rohini Dakulagi |
| collection | DOAJ |
| description | This paper presents a novel algorithm, Coherent and Uncorrelated Sources Estimation using Tensor Decomposition (CUSE-TD), designed to enhance the accuracy of Direction of Arrival (DOA) estimation in Multiple-Input Multiple-Output (MIMO) systems. The CUSE-TD algorithm addresses the complex challenge of estimating both coherent and uncorrelated sources by leveraging advanced sensor-driven tensor decomposition techniques, with an emphasis on Tucker decomposition. By meticulously analyzing factor matrices derived from sensor data, the algorithm effectively decodes intricate spatiotemporal patterns within the received tensor, offering precise source estimation even in scenarios where the number and nature of the sources are unknown. The paper provides an in-depth assessment of the algorithm’s performance, highlighting its computational efficiency and ability to handle diverse sensor-driven scenarios. Extensive simulations in intricate sensing environments demonstrate the algorithm’s robustness, affirming its potential to significantly improve DOA estimation accuracy in MIMO systems across a wide range of operational conditions. The usefulness of the CUSE-TD algorithm lies in its applicability CUSE -TD to real-world MIMO systems, particularly in complex environments such as radar, wireless communications, and surveillance systems, where accurate source detection is critical for operational effectiveness. Its adaptability to varying sensor configurations and source conditions makes it a powerful tool for enhancing overall system reliability and performance. |
| format | Article |
| id | doaj-art-99ef5f33bc26412da993ba1066c2b3bd |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-99ef5f33bc26412da993ba1066c2b3bd2025-01-24T00:02:04ZengIEEEIEEE Access2169-35362025-01-0113113071131910.1109/ACCESS.2024.352536010820334CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated SignalsRohini Dakulagi0https://orcid.org/0000-0002-6552-4046Ravi Raushan1https://orcid.org/0000-0002-0664-4267Soham Dutta2https://orcid.org/0000-0002-0922-1470Mohammed Theeb Alosaimi3Miguel Villagomez-Galindo4Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Mangaluru, Karnataka, IndiaDepartment of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Mangaluru, Karnataka, IndiaDepartment of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaCollege of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi ArabiaMechanical Engineering Faculty, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, MexicoThis paper presents a novel algorithm, Coherent and Uncorrelated Sources Estimation using Tensor Decomposition (CUSE-TD), designed to enhance the accuracy of Direction of Arrival (DOA) estimation in Multiple-Input Multiple-Output (MIMO) systems. The CUSE-TD algorithm addresses the complex challenge of estimating both coherent and uncorrelated sources by leveraging advanced sensor-driven tensor decomposition techniques, with an emphasis on Tucker decomposition. By meticulously analyzing factor matrices derived from sensor data, the algorithm effectively decodes intricate spatiotemporal patterns within the received tensor, offering precise source estimation even in scenarios where the number and nature of the sources are unknown. The paper provides an in-depth assessment of the algorithm’s performance, highlighting its computational efficiency and ability to handle diverse sensor-driven scenarios. Extensive simulations in intricate sensing environments demonstrate the algorithm’s robustness, affirming its potential to significantly improve DOA estimation accuracy in MIMO systems across a wide range of operational conditions. The usefulness of the CUSE-TD algorithm lies in its applicability CUSE -TD to real-world MIMO systems, particularly in complex environments such as radar, wireless communications, and surveillance systems, where accurate source detection is critical for operational effectiveness. Its adaptability to varying sensor configurations and source conditions makes it a powerful tool for enhancing overall system reliability and performance.https://ieeexplore.ieee.org/document/10820334/CUSE-TD algorithmdirection of arrival (DOA) estimationmultiple-input multiple-output (MIMO) systemstensor decompositionTucker decompositioncoherent sources |
| spellingShingle | Rohini Dakulagi Ravi Raushan Soham Dutta Mohammed Theeb Alosaimi Miguel Villagomez-Galindo CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals IEEE Access CUSE-TD algorithm direction of arrival (DOA) estimation multiple-input multiple-output (MIMO) systems tensor decomposition Tucker decomposition coherent sources |
| title | CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals |
| title_full | CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals |
| title_fullStr | CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals |
| title_full_unstemmed | CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals |
| title_short | CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals |
| title_sort | cuse td algorithm for precision detection of coherent and uncorrelated signals |
| topic | CUSE-TD algorithm direction of arrival (DOA) estimation multiple-input multiple-output (MIMO) systems tensor decomposition Tucker decomposition coherent sources |
| url | https://ieeexplore.ieee.org/document/10820334/ |
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