A co-prime nested array algorithm in reducing mutual coupling and DOA estimation
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TN957

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    Abstract:

    In order to reduce the mutual coupling between sensors, a kind of co-prime nested array with adjustable element spacing is proposed. The proposed array consists of two nested arrays with different element spacing and the smallest intervals of two sub-arrays are determined by two co-prime positive integers. As long as the positive integers are big enough, the smallest intervals of each sub-array can be far more than half the wave length of incident signal, hence the reduction of the mutual coupling effect between sensors to a negligible level. To eliminate the direction ambiguity caused by large element spacing, a direction of arrival (DOA) estimation algorithm based on fourth-order cumulants is proposed to get unambiguous direction estimation. Compared with some classical self-correcting methods, the proposed algorithm has a higher angle resolution and estimation precision. Simulation results have proved the improved performance of proposed algorithm.

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刘声,赵静,曹海林,田昌海,吴德成.一种减小互耦的互素嵌套阵列及测向算法[J].重庆大学学报,2021,44(1):20~28

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  • Received:June 12,2020
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  • Online: January 08,2021
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