An effective compensating approach to the synthesis of sparse array with element-failures
2019
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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