一种新的测向阵列几何优化准则

Mehrad Amin Eskandari, S. M. Karbasi
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引用次数: 0

摘要

多信号分类器(MUSIC)是一种基于子空间的窄带非相关信号到达角估计方法。在天线数量相同的情况下,阵列元素的放置对阵列转向矢量以及MUSIC算法的AoA估计精度有显著影响。本文通过理论分析和仿真分析,研究了阵列几何形状与AoA估计精度的关系,最后提出了一种新的阵列设计方法(天线的放置),以提高AoA估计精度。通过仿真和实际实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Criterion to Optimize Array Geometry for Direction Finding
The multiple signal classifier (MUSIC) is a popular sub-space based method to estimate Angle of Arrival (AoA) of narrow-band and uncorrelated signals. With the same number of antennas, the placement of array elements has a significant effect on the array steering vectors, as well as the accuracy of AoA estimation employing the MUSIC algorithm. In this paper, relation of array geometry and AoA estimation accuracy is studied with some theoretic and simulation analysis, and finally, we introduce a novel method for array design (placement of antannas) to get better accuracy in AoA estimation. Several simulation based as well as practical experiments are given to justify the performance of our proposed method.
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