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Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas

机译:紧凑型可重构天线新型DoA估计算法的实验结果

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摘要

Reconfigurable antenna systems have gained much attention for potential use in the next generation wireless systems. However, conventional direction-of-arrival (DoA) estimation algorithms for antenna arrays cannot be used directly in reconfigurable antennas due to different design of the antennas. In this paper, we present an adjacent pattern power ratio (APPR) algorithm for two-port composite right/left-handed (CRLH) reconfigurable leaky-wave antennas (LWAs). Additionally, we compare the performances of the APPR algorithm and LWA-based MUSIC algorithms. We study how the computational complexity and the performance of the algorithms depend on number of selected radiation patterns. In addition, we evaluate the performance of the APPR and MUSIC algorithms with numerical simulations as well as with real world indoor measurements having both line-of-sight and non-line-of-sight components. Our performance evaluations show that the DoA estimates are in a considerably good agreement with the real DoAs, especially with the APPR algorithm. In summary, the APPR and MUSIC algorithms for DoA estimation along with the planar and compact LWA layout can be a valuable solution to enhance the performance of the wireless communication in the next generation systems.
机译:可重构天线系统在下一代无线系统中的潜在用途已引起广泛关注。然而,由于天线的不同设计,用于天线阵列的常规到达方向(DoA)估计算法不能直接用于可重构天线中。在本文中,我们提出了一种用于两端口复合右/左手(CRLH)可重配置漏波天线(LWA)的相邻方向图功率比(APPR)算法。此外,我们比较了APPR算法和基于LWA的MUSIC算法的性能。我们研究了计算复杂度和算法性能如何取决于所选辐射图的数量。此外,我们通过数值模拟以及具有视线和非视线成分的真实室内测量来评估APPR和MUSIC算法的性能。我们的性能评估表明,DoA估计与真实DoA(尤其是APPR算法)非常吻合。总而言之,用于DoA估计的APPR和MUSIC算法以及平面和紧凑的LWA布局可以是提高下一代系统中无线通信性能的有价值的解决方案。

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  • 来源
    《International journal of antennas and propagation》 |2017年第3期|31.1-31.13|共13页
  • 作者单位

    VTT Tech Res Ctr Finland, Kaitovayla 1,POB 1100, Oulu 90571, Finland;

    Tampere Univ Technol, Dept Elect & Commun Engn, POB 553, FIN-33101 Tampere, Finland;

    Drexel Univ, Dept Elect & Comp Engn, 3141 Chestnut St, Philadelphia, PA 19104 USA;

    Drexel Univ, Dept Elect & Comp Engn, 3141 Chestnut St, Philadelphia, PA 19104 USA;

    Drexel Univ, Dept Elect & Comp Engn, 3141 Chestnut St, Philadelphia, PA 19104 USA;

    Tampere Univ Technol, Dept Elect & Commun Engn, POB 553, FIN-33101 Tampere, Finland;

    VTT Tech Res Ctr Finland, Kaitovayla 1,POB 1100, Oulu 90571, Finland;

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