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Application of MUSIC to arrays with multiple invariances

机译:MUSIC在具有多个不变性的阵列中的应用

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This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival (DOA) estimation to arrays composed of multiple translated subarrays. The advantage of these new approaches is that the DOAs can be estimated using either a one-dimensional search or by rooting a polynomial, as opposed to a multidimensional search as required by the multiple invariance (MI)-ESPRIT algorithm. While MI-MUSIC and root-MI-MUSIC are not statistically efficient like MI-ESPRIT, they do perform better than a single invariance implementation of ESPRIT, and are thus better suited for finding the initial conditions required by the MI-ESPRIT search.
机译:本文介绍了将MUSIC和根MUSIC算法用于到达方向(DOA)估计到由多个转换的子数组组成的数组的一般化。这些新方法的优点在于,与多重不变性(MI)-ESPRIT算法所需的多维搜索相比,可以使用一维搜索或通过对多项式求根来估计DOA。尽管MI-MUSIC和root-MI-MUSIC在统计上并不像MI-ESPRIT那样有效,但它们的性能要比ESPRIT的单个不变实现更好,因此更适合查找MI-ESPRIT搜索所需的初始条件。

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