无冗余的高阶测向

Feng Wang, X. Cui, Mingquan Lu
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引用次数: 0

摘要

近十年来,人们提出了将MUSIC算法扩展到任意偶数阶2q的2q-MUSIC算法来处理多源环境下的测向问题,其性能优于MUSIC算法。但其计算复杂度较高,限制了其实际应用。本文针对均匀线性阵列和均匀矩形阵列,提出了一种基于二阶统计量的非冗余-2q- music方法。该方法消除了虚拟阵列和二次累积矩阵的冗余,有效地降低了计算复杂度。根- music可以避免伪谱的计算。理论证明和计算机仿真都表明了该方法的正确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Higher order direction finding without redundancy
In the last decade, 2q-MUSIC, an extension of MUSIC algorithm to an arbitrary even order 2q, has been proposed to process direction-finding problems in the multi-source environments and it performs better than MUSIC. However it suffers from the high computational complexity, thus limiting its practical application. In this paper, a method called Non-Redundant-2q-MUSIC using 2qth order statistics for uniform linear arrays and uniform rectangular arrays is proposed. The proposed method lowers the computational complexity effectively by removing the redundancy of the virtual array and the 2qth-order cumulants matrix. And root-MUSIC can be applied to avoid calculating the pseudo-spectrum. It is illustrated in both theoretical proof and computer simulations that the proposed method performs properly and effectively.
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