基于降低互耦影响的二维稀疏阵优化设计

Optimal Design of Two-Dimensional Sparse Array Based on Mutual Coupling Reduction

  • 摘要: 通过对基于差分共阵概念的开盒阵(open box array,OBA)阵元进行重新优化,提出了一种称为稀疏H型阵的新阵型设计方案.该结构具有与OBA相同的可估计信源数,并通过降低紧密排布的传感器对数有效减小了传感器间互耦效应.基于二维酉ESPRIT算法的波达方向估计,仿真证实了所提出的阵型相较其他阵型具有更好的抗耦合能力.

     

    Abstract: A new planar sparse geometry, referred to as the sparse H array was proposed by re-optimizing the sensors of open box array (OBA) based on difference co-array concept. The new structures has the same number of identifiable sources as the OBAs. It can decrease the mutual coupling effect between sensors by effectively reducing sensor pairs with closed space. Simulations of the direction-of-arrival estimation verify the better anti-coupling capability of the proposed PSAs than other geometries with the 2-D unitary ESPRIT algorithm used.

     

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