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Application of MUSIC to arrays with multiple invariances

机译:音乐将音乐应用于多重修正的阵列

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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:本文介绍了音乐和根部音乐算法的概括,以便到达方向(DOA)估计到由多个翻译子阵列组成的阵列。 这些新方法的优点是可以使用一维搜索或通过root多项式来估计DOA,而不是由多维行动(MI)-esprit算法所要求的多维搜索。 虽然MI-Music和Root-Mi-Music与MI-Esprit没有统计有效,但它们确实比ESPRIT的单一不变性实现更好,因此更适合于查找MI-ESPRIT搜索所需的初始条件。

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