部分自适应阵列对MUSIC的子阵列效应

M. Sivasankar, S. S. Patil, K. Venkatesha, A. Vengadarajan
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引用次数: 4

摘要

多信号分类(MUSIC)是一种高效的超分辨算法,可用于雷达的角度超分辨。为了降低系统复杂度和计算量,将大型天线阵划分为子阵,只使用子阵输出估计空间频谱。通过形成具有子阵相位中心和增益的阵列流形矢量,子阵输出才能实现局部超分辨率。空间谱与子阵形成密切相关。本文详细阐述了聚光音乐技术中光栅瓣对原主瓣的影响。结合平面阵列的仿真结果,讨论了局部超分辨模糊问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subarray effect on MUSIC for Partial adaptive arrays
Multiple Signal Classification (MUSIC) is one of the efficient super resolution algorithms, which can be used for angular super resolution in Radars. The large antenna array is divided into sub arrays and only sub array outputs are used to estimate the spatial spectrum in order to reduce the system complexity and computational load. Only local super resolution can be achieved with sub array outputs by forming the array manifold vector with sub array phase centers and gains. The spatial spectrum and sub array formation are closely related. In this paper the effect of grating lobes on the original main lobe by using Spot-light MUSIC is explained in detail. The ambiguity in the local super resolution has been discussed with simulation results for the planar arrays.
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