An effective compensating approach to the synthesis of sparse array with element-failures
The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) Algorithm is used to compensate the failure of sparse array element. A fitness function is introduced to restrict the error between pre-failed pattern and measured pattern. To minimize the function we have introduced CMA-ES algorithm. S...
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| Published in: | 2019 International Applied Computational Electromagnetics Society Symposium - China (ACES) Vol. 1; pp. 1 - 2 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
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Applied Computational Electromagnetics Society
01.08.2019
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| Abstract | The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) Algorithm is used to compensate the failure of sparse array element. A fitness function is introduced to restrict the error between pre-failed pattern and measured pattern. To minimize the function we have introduced CMA-ES algorithm. Several numerical results demonstrate the ability of this array failure compensation algorithm. |
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| AbstractList | The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) Algorithm is used to compensate the failure of sparse array element. A fitness function is introduced to restrict the error between pre-failed pattern and measured pattern. To minimize the function we have introduced CMA-ES algorithm. Several numerical results demonstrate the ability of this array failure compensation algorithm. |
| Author | Qin, Anqi Sheng, Yijun |
| Author_xml | – sequence: 1 givenname: Anqi surname: Qin fullname: Qin, Anqi organization: Nanjing University of Science and Technology,Department of Communication Engineering,Nanjing,China – sequence: 2 givenname: Yijun surname: Sheng fullname: Sheng, Yijun organization: Nanjing University of Science and Technology,Department of Communication Engineering,Nanjing,China |
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| PublicationTitle | 2019 International Applied Computational Electromagnetics Society Symposium - China (ACES) |
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| Snippet | The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) Algorithm is used to compensate the failure of sparse array element. A fitness function is... |
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| SubjectTerms | Adaptive arrays array failure compensation algorithm Arrays CMA-ES Covariance matrices failure of sparse array element Gaussian distribution Sociology |
| Title | An effective compensating approach to the synthesis of sparse array with element-failures |
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