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Performance of a Three-Dimensional Antenna Array and Its Application in DOA Estimation

机译:三维天线阵列的性能及其在DOA估计中的应用

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摘要

In this paper, we develop a novel three-dimensional (3D) multiantenna array for enhancing the performance of multiple input multiple output systems. This array is composed of two uniform circular arrays (UCAs). A frequency nonselective Rayleigh fading channel model is introduced to calculate the spatial fading correlation (SFC) and capacity of a multipath channel. Then, the influence of the rotation angle and the perpendicular distance h of the upper UCA in a double uniform circular array (DUCA) with reference to the lower UCA and the radius r of the DUCA on the SFC and the capacity are investigated. In addition, the DUCA is applied to a multiple signal classification algorithm in order to estimate the direction of arrival (DOA). Simulation results show that which results in the minimum correlation and the maximum capacity depends on the angle of arrival, and the increase in h and r enhances the capacity performance. However, when has little effect on the capacity. Comparing the spatial spectrum and the root mean square error of the DUCA with a general uniform linear array, UCA, and 2-L array, this paper shows that 3D antenna arrays have significant advantages in DOA estimation.
机译:在本文中,我们开发了一种新颖的三维(3D)多天线阵列,用于增强多输入多输出系统的性能。此数组由两个均匀的圆形数组(UCA)组成。引入频率非选择性瑞利衰落信道模型以计算空间衰落相关性(SFC)和多径信道的容量。然后,研究相对于下部UCA和DUCA半径r的双均匀圆形阵列(DUCA)中上部UCA的旋转角度和垂直距离h对SFC和容量的影响。另外,DUCA应用于多信号分类算法,以便估计到达方向(DOA)。仿真结果表明,这导致最小相关性和最大容量取决于到达角,并且h和r的增加会增强容量性能。但是,何时对容量影响不大。将DUCA的空间频谱和均方根误差与一般的均匀线性阵列,UCA和2-L阵列进行比较,表明3D天线阵列在DOA估计中具有明显的优势。

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