Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments
Sensor arrays have been widely applied in various fields, e.g., wireless communication, radar, and navigation. Key roles of sensor arrays include providing spatial parameter estimations and enhancing parameter estimation performances in other domains. However, with the present complex electromagneti...
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| Język: | angielski |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Dostęp online: | ONIX_20250812T110751_9783725843930_465 |
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| collection | Directory of Open Access Books |
| description | Sensor arrays have been widely applied in various fields, e.g., wireless communication, radar, and navigation. Key roles of sensor arrays include providing spatial parameter estimations and enhancing parameter estimation performances in other domains. However, with the present complex electromagnetic environment, general estimation methods experience significant performance degradations when encountering complex signal propagation, such as multipath or occlusion situations. Meanwhile, a sensor array system itself also suffers from uncertainties, such as gain-phase errors and mutual coupling, which are classic but long-term problems. In this Special Issue, we have collected a range of representative research works on this topic. In response to errors in the sensor array itself, such as random array deformations and mutual coupling, sparse array design and small-aperture antenna design methods are proposed. Meanwhile, from a parameter estimation perspective, conformal maps, element selection, and deep learning-based methods are proposed. In response to the received data errors caused by complex environments, such as multipath propagation and low signal-to-noise ratios, methods based on reweighted sparse sensing, pseudo noise resampling, Bayesian estimation, and multiphase filters are proposed. Furthermore, in response to the high complexity brought by robust processing algorithms, methods such as Taylor Compensation and dimensionality reduction are proposed. The relevant methods have shown excellent performance under complex system errors through simulation tests or actual tests. |
| format | Online |
| id | doab-20.500.12854ir-165710 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1657102025-08-12T10:09:11Z Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments Li, Jianfeng Wang, Ding direction of arrival estimation source localization sparse array robust estimation method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities Sensor arrays have been widely applied in various fields, e.g., wireless communication, radar, and navigation. Key roles of sensor arrays include providing spatial parameter estimations and enhancing parameter estimation performances in other domains. However, with the present complex electromagnetic environment, general estimation methods experience significant performance degradations when encountering complex signal propagation, such as multipath or occlusion situations. Meanwhile, a sensor array system itself also suffers from uncertainties, such as gain-phase errors and mutual coupling, which are classic but long-term problems. In this Special Issue, we have collected a range of representative research works on this topic. In response to errors in the sensor array itself, such as random array deformations and mutual coupling, sparse array design and small-aperture antenna design methods are proposed. Meanwhile, from a parameter estimation perspective, conformal maps, element selection, and deep learning-based methods are proposed. In response to the received data errors caused by complex environments, such as multipath propagation and low signal-to-noise ratios, methods based on reweighted sparse sensing, pseudo noise resampling, Bayesian estimation, and multiphase filters are proposed. Furthermore, in response to the high complexity brought by robust processing algorithms, methods such as Taylor Compensation and dimensionality reduction are proposed. The relevant methods have shown excellent performance under complex system errors through simulation tests or actual tests. 2025-08-12T10:09:09Z 2025-08-12T10:09:09Z 2025 book ONIX_20250812T110751_9783725843930_465 9783725843930 9783725843947 https://directory.doabooks.org/handle/20.500.12854/165710 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11094 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4394-7 10.3390/books978-3-7258-4394-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725843930 9783725843947 194 open access |
| spellingShingle | direction of arrival estimation source localization sparse array robust estimation method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments |
| title | Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments |
| title_full | Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments |
| title_fullStr | Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments |
| title_full_unstemmed | Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments |
| title_short | Robust Parameter Estimation with Sensor Arrays in Complex Electromagnetic Environments |
| title_sort | robust parameter estimation with sensor arrays in complex electromagnetic environments |
| topic | direction of arrival estimation source localization sparse array robust estimation method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| topic_facet | direction of arrival estimation source localization sparse array robust estimation method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| url | ONIX_20250812T110751_9783725843930_465 |