同时扇区处理通过ROOT-MUSIC为大型传感器阵列

M. Zoltowski, G. Kautz, S. D. Silverstein
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引用次数: 8

摘要

在非常大的阵列场景中实现特征结构方法的一种可行方法是通过空间滤波将整个角谱分解成子带,然后对每个子带应用波束空间MUSIC。针对波束空间流形向量的非vandermonde结构,提出了一种在波束空间中实现根- music的高效计算方案。使用经典的锥形方案,如汉宁和汉明窗,作为波束空间ROOT-MUSIC的一个选项,用于对抗强带外源的不利影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous sector processing via ROOT-MUSIC for large sensor arrays
A viable means of implementing eigenstructure methods in very large array scenarios is to decompose the full angular spectrum into sub-bands via spatial filtering and to subsequently apply beamspace MUSIC to each sub-band. Despite the non-Vandermonde structure of the beamspace manifold vector, a computationally efficient scheme for implementing ROOT-MUSIC in beamspace is developed. The use of classical tapering schemes such as the Hanning and Hamming windows is incorporated as an option in beamspace ROOT-MUSIC for the purpose of combating the pejorative effects of strong out-of-band sources.<>
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