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一种基于Khatri-Rao子空间的非均匀稀疏阵列
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TN911.23

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A Novel Sparse Linear Array Geometry via KhatriRao Subspace
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    摘要:

    基于KhatriRao(K-R)子空间提出一种提升阵列自由度的非均匀阵列排布方式,即新型嵌套阵列。新型嵌套阵列由大小2个均匀线阵(ULA)构成,较大ULA的阵元间隔取决于较小ULA的阵列长度。相较于自由度为O(N)的N阵元ULA,N个阵元的新型嵌套阵可通过在K-R子空间中得到阵元数为(N2/2+N-1)的虚拟ULA,将阵列自由度提升至O(N 2),大大提高了分辨多信源的能力。同时由于阵元稀疏排布,N个阵元的新型嵌套阵的有效孔径大于N阵元ULA,使新型嵌套阵列分辨临近目标的能力优于ULA。在通过K-R子空间得到虚拟ULA的稀疏阵列流型中,新型嵌套阵列是自由度提升最大的方式之一,且在低信噪比和小快拍数情况下依然有较好性能。

    Abstract:

    A novel sparse linear array geometry, i.e. a new nested array, is proposed based on KhatriRao (K-R) subspace , which is capable of increasing the degrees of freedom (DOF) of arrays. The new nested array consists of two uniform linear arrays (ULA), where the spacing of larger ULA is determined by the array length of smaller one. Compared with a ULA providing DOF with sensors, a new nested array is able to increase the DOF to by obtaining a virtual ULA with sensors through KR product in K-R subspace, and thus the increased DOF makes it possible to resolve more sources. In addition, the new nested array is a sparse array, and has longer aperture than that of ULA in equal number of sensors to bring a good ability to resolve nearby targets. The new nested array is one of the arrays, which have the largest DOF increased by K-R product, and the performance of the new nested array is good even under the condition of low SNR and small snapshots.

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丁姗姗,张永顺,牛超,赵小茹.一种基于Khatri-Rao子空间的非均匀稀疏阵列[J].空军工程大学学报,2015,(5):78-82

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  • 在线发布日期: 2015-12-25
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