节点文献

基于噪声子空间映射的二维波达角快速估计算法

Efficient Algorithm for 2-D DOA Estimation Based on Noise Subspace Mapping

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 王军闫锋刚金铭乔晓林

【Author】 WANG Jun;YAN Feng-gang;JIN Ming;QIAO Xiao-lin;School of Electronics and Information Engineering,Harbin Institute of Technology;

【机构】 哈尔滨工业大学电子与信息工程学院

【摘要】 为了降低二维MUSIC(Two Dimensional Multiple Signal Classification,2-D MUSIC)算法的计算量,提高算法的实时处理能力,基于噪声子空间映射思想提出了一种适用于任意平面阵列结构的二维波达角(Direction Of Arrival,DOA)快速估计算法.新算法利用空间角度划分及非线性变换将信号子空间与噪声子空间的正交性等价地压缩至某个角度分片内,使得真实DOA在该角度分片内产生虚拟镜像,通过搜索该角度分片得到虚拟DOA,最后利用数学式直接计算得到真实DOA.理论分析和实验结果表明新算法能够成倍地提高DOA估计的速度,同时具有比MUSIC算法更高的空间分辨率.

【Abstract】 To reduce the computational complexity of the two dimensional Multiple Signal Classification( 2-D MUSIC) algorithm and make it suitable for real-time applications,this paper presents a newcomputationally efficient method for2-D direction-of-arrivals( DOA) estimation with arbitrary 2-D array configurations based on noise-subspace mapping. Exploring the idea of spatial angle dividing and non-linear transformation,the orthogonal relationship between the signal-subspaces and noise-subspaces is compressed to a small angular sector,leading to a series of virtual mirrors for each true DOA in a given sector. This allows fast estimation for the virtual DOAs by spectral search over only one sector,which further gives the value of the true DOAs since they are mathematically related. It is shown by theoretical analysis as well as experimental results that the newapproach has a much lower computational complexity and an improved resolution as compared to the standard MUSIC.

【基金】 山东省自然科学基金(No.ZR2014FQ003)
  • 【文献出处】 电子学报 ,Acta Electronica Sinica , 编辑部邮箱 ,2015年02期
  • 【分类号】TN911.23
  • 【被引频次】12
  • 【下载频次】212
节点文献中: 

本文链接的文献网络图示:

本文的引文网络