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L-shaped array-based elevation and azimuth direction finding in the presence of mutual coupling

机译:在存在相互耦合的情况下基于L形阵列的仰角和方位角方向的发现

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摘要

For two-dimensional (2-D) directions-of-arrival (DOA) estimation problem, both the mutual coupling and the failure in pairing can cause severe performance degradation. In this paper, a new elevation and azimuth direction finding algorithm is developed to overcome the above-mentioned two difficulties in the L-shaped array configuration. The key points of this paper are: (ⅰ) constructing several correlation matrices to blindly compensate the effect of unknown mutual coupling using the outputs of properly chosen sensors and (ⅱ) deriving a rank-reduction propagator method to estimate elevation and azimuth angles so as to avoid pairing parameters. Simulation results are presented to validate the performance of the proposed method.
机译:对于二维(2-D)到达方向(DOA)估计问题,相互耦合和配对失败都会导致严重的性能下降。本文提出了一种新的仰角和方位角测向算法,以克服上述L型阵列结构中的两个困难。本文的重点是:(ⅰ)使用适当选择的传感器的输出构造几个相关矩阵,以盲目补偿未知互耦合的影响;(ⅱ)推导降阶传播器方法以估计仰角和方位角,从而避免配对参数。仿真结果表明了该方法的有效性。

著录项

  • 来源
    《Signal processing》 |2011年第5期|p.1319-1328|共10页
  • 作者单位

    School of Automation & Information Engineering, Xi'an University of Technology, Xi'an, China;

    College of Management, Shenzhen University, China;

    Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China;

    Graduate School of Information Science and Technology, University of Tokyo, Japan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    l-shaped array; mutual coupling; rank-reduction; propagator method;

    机译:l形阵列相互耦合降阶传播子法;

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