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Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept

机译:利用差分协同阵列概念对离网资源进行欠定宽带DOA估计

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摘要

A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity.
机译:提出了一种宽带离网模型,用于在压缩感知框架下利用差分协同阵列表示字典不匹配。针对未确定的宽带到达方向(DOA)估计,提出了一种基于组稀疏性的离网方法,该方法比具有相同搜索网格的现有基于组稀疏性的方法具有更高的性能。然后提出了一种两步方法,该方法在显着降低计算复杂度的情况下获得了更好的性能。

著录项

  • 来源
    《Signal processing》 |2017年第1期|299-304|共6页
  • 作者单位

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;

    Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom;

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;

    Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA;

    Center for Advanced Communications, Villanova University, Villanova, PA 19085, USA;

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

    Off-Grid; Difference co-array; Group sparsity; DOA estimation; Compressive sensing;

    机译:离网差异共数组;小组稀疏;DOA估算;压缩感测;

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