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Directions of arrival estimation with planar antenna arrays in the presence of mutual coupling

机译:存在互耦的平面天线阵列的到达方向估计

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摘要

Directions of arrival (DoAs) estimation of multiple sources using an antenna array is a challenging topic in wireless communication. The DoAs estimation accuracy depends not only on the selected technique and algorithm, but also on the geometrical configuration of the antenna array used during the estimation. In this article the robustness of common planar antenna arrays against unaccounted mutual coupling is examined and their DoAs estimation capabilities are compared and analysed through computer simulations using the well-known Multiple Signal Classification (MUSIC) algorithm. Our analysis is based on an electromagnetic concept to calculate an approximation of the impedance matrices that define the mutual coupling matrix (MCM). Furthermore, a CRB analysis is presented and used as an asymptotic performance benchmark of the studied antenna arrays. The impact of the studied antenna arrays geometry on the MCM structure is also investigated. Simulation results show that the UCCA has more robustness against unaccounted mutual coupling and performs better results than both UCA and URA geometries. The performed simulations confirm also that, although the UCCA achieves better performance under complicated scenarios, the URA shows better asymptotic (CRB) behaviour which promises more accuracy on DoAs estimation.
机译:使用天线阵列的多个源的到达方向(DoAs)估计是无线通信中一个具有挑战性的主题。 DoAs估计精度不仅取决于所选的技术和算法,还取决于估计期间使用的天线阵列的几何配置。在本文中,研究了常见平面天线阵列针对未解决的互耦合的鲁棒性,并通过使用众所周知的多信号分类(MUSIC)算法的计算机仿真对它们的DoA估计能力进行了比较和分析。我们的分析基于电磁概念来计算定义互耦合矩阵(MCM)的阻抗矩阵的近似值。此外,提出了CRB分析并将其用作所研究天线阵列的渐近性能基准。还研究了所研究的天线阵列几何形状对MCM结构的影响。仿真结果表明,相比于UCA和URA几何图形,UCCA对未解释的互耦具有更强的鲁棒性,并且效果更好。进行的仿真还证实,尽管UCCA在复杂的情况下可实现更好的性能,但URA表现出更好的渐近(CRB)行为,有望在DoAs估计上提供更高的准确性。

著录项

  • 来源
    《International journal of electronics》 |2013年第6期|818-836|共19页
  • 作者单位

    Unit of Research in High Frequency Electronic Circuits and Systems,Faculty of Sciences of Tunis, El Manar, 2092, Tunisia;

    Unit of Research in High Frequency Electronic Circuits and Systems,Faculty of Sciences of Tunis, El Manar, 2092, Tunisia;

    Unit of Research in High Frequency Electronic Circuits and Systems,Faculty of Sciences of Tunis, El Manar, 2092, Tunisia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mutual coupling matrix (MCM); planar arrays; DoAs estimation; MUSIC algorithm; CRB;

    机译:互耦合矩阵(MCM);平面阵列DoAs估算;MUSIC算法;CRB;

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