Iterative Sequential Estimation for Multiple Structured Signals
In this paper, we address the signal estimation problem for a linear combination of multiple structured models, which is widely employed in the passive and/or active sensing systems to characterize the behaviors, for example, jamming and multipath propagation, in radar and communication societies. A...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9022989/ |
| _version_ | 1818330482942672896 |
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| author | Zhimei Hao Xianxiang Yu Na Gan Guolong Cui |
| author_facet | Zhimei Hao Xianxiang Yu Na Gan Guolong Cui |
| author_sort | Zhimei Hao |
| collection | DOAJ |
| description | In this paper, we address the signal estimation problem for a linear combination of multiple structured models, which is widely employed in the passive and/or active sensing systems to characterize the behaviors, for example, jamming and multipath propagation, in radar and communication societies. An iterative sequential estimation (ISE) algorithm is presented to obtain simultaneously the multiple structured signals. At each iteration, employing the estimated signals at the previous step, the optimal linear filters, based on mean-squared error criteria, are designed to minimize the output average power for every element of each signal. Finally, we evaluate the performance of the proposed ISE method compared with the least-square and compressed sensing algorithms via numerical simulations. The results highlight the presented algorithm shows a better signal estimation performance at low SNR and plays a trade-off between the computational complexity and the signal estimation performance. |
| first_indexed | 2024-12-13T13:04:40Z |
| format | Article |
| id | doaj.art-b464dc84a9874568964eb59282eb761f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:04:40Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b464dc84a9874568964eb59282eb761f2022-12-21T23:44:51ZengIEEEIEEE Access2169-35362020-01-018444524445810.1109/ACCESS.2020.29780069022989Iterative Sequential Estimation for Multiple Structured SignalsZhimei Hao0Xianxiang Yu1Na Gan2Guolong Cui3https://orcid.org/0000-0001-5707-6311School of Electronic Information Engineering, Beihang University, Beijing, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaIn this paper, we address the signal estimation problem for a linear combination of multiple structured models, which is widely employed in the passive and/or active sensing systems to characterize the behaviors, for example, jamming and multipath propagation, in radar and communication societies. An iterative sequential estimation (ISE) algorithm is presented to obtain simultaneously the multiple structured signals. At each iteration, employing the estimated signals at the previous step, the optimal linear filters, based on mean-squared error criteria, are designed to minimize the output average power for every element of each signal. Finally, we evaluate the performance of the proposed ISE method compared with the least-square and compressed sensing algorithms via numerical simulations. The results highlight the presented algorithm shows a better signal estimation performance at low SNR and plays a trade-off between the computational complexity and the signal estimation performance.https://ieeexplore.ieee.org/document/9022989/Signal estimationradar and communicationiterative sequential estimationmultiple structured signals |
| spellingShingle | Zhimei Hao Xianxiang Yu Na Gan Guolong Cui Iterative Sequential Estimation for Multiple Structured Signals IEEE Access Signal estimation radar and communication iterative sequential estimation multiple structured signals |
| title | Iterative Sequential Estimation for Multiple Structured Signals |
| title_full | Iterative Sequential Estimation for Multiple Structured Signals |
| title_fullStr | Iterative Sequential Estimation for Multiple Structured Signals |
| title_full_unstemmed | Iterative Sequential Estimation for Multiple Structured Signals |
| title_short | Iterative Sequential Estimation for Multiple Structured Signals |
| title_sort | iterative sequential estimation for multiple structured signals |
| topic | Signal estimation radar and communication iterative sequential estimation multiple structured signals |
| url | https://ieeexplore.ieee.org/document/9022989/ |
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