北京邮电大学学报

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北京邮电大学学报

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基于分形天线阵列的快速DOA估计算法(增刊)

王登伟

  

  1. 北京邮电大学继续教育学院(即北京邮电大学通信网络综合技术研究所;北京邮电大学培训中心)
  • 收稿日期:2006-10-13 修回日期:2007-01-25 出版日期:2007-06-30 发布日期:2007-06-30
  • 通讯作者: 贾嘉

Fast Method of DOA Estimation Using Fractal Antenna Arrays

  • Received:2006-10-13 Revised:2007-01-25 Online:2007-06-30 Published:2007-06-30

摘要: 针对智能天线要求结构尺寸小和测向算法收敛快的问题,在深入论述分形天线阵列技术和降秩理论的基础上,提出基于Cantor线性阵列天线的快速DOA估计算法。不仅使得智能天线的结构尺寸减小了30%,通过多级嵌套维纳滤波器前向递推的方法,子空间的分解和维数确定可同时进行,不需要估计接收信号的协方差矩阵和对其作特征值分解,运算量可以明显降低,收敛速度快。该方案具有很好的理论价值以及应用前景,蒙特卡罗仿真结果表明了本方法的有效性。

关键词: 智能天线, 分形天线阵列, DOA, 多级维纳滤波器, 降秩

Abstract: Fractal antenna arrays and rank-reducation are discussed in the paper. Then a fast Method of DOA Estimation Using Cantor linear arrays is proposed. Given the training sequences of a desired signal, the signal subspace and noise subspace can be obtain quickly, while the dimension of subspace can be correctly estimated. The new method does not require the formation of the covariance matrix and its eigendecomposition. So it outperforms the eigen-decomposition based method in terms of computational complexity. And the size of Cantor linear arrays is only 70% of general antenna arrays. Finally, the effectiveness of the proposed approach is verified by numerical results.

Key words: smart antenna, fractal antenna arrays, DOA, multistage wiener filter, rank reduction