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[1]汪海,吴云韬.基于秩亏损的近场源定位快速算法[J].武汉工程大学学报,2011,(11):62-65.
　WANG Hai,WU Yun tao.Fast algorithm for nearfield source localization byusing rank reduction technique[J].Journal of Wuhan Institute of Technology,2011,(11):62-65.
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基于秩亏损的近场源定位快速算法(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2011年11期
页码:
62-65
栏目:
机电与信息工程
出版日期:
2011-11-30

文章信息/Info

Title:
Fast algorithm for nearfield source localization by
using rank reduction technique
文章编号:
16742869(2011)11006204
作者:
汪海; 吴云韬
武汉工程大学智能机器人湖北省重点实验室，湖北 武汉 430074
Author(s):
WANG Hai; WU Yuntao
Key Lab of Intelligent Robot in Hubei Province，Wuhan Institute of Technology，Wuhan 430074，China
关键词:
RootMUSIC; 近场源; 距离估计; 角度估计
Keywords:
RootMUSIC; nearfield source; range estimation; angle estimation
分类号:
TN911.72
DOI:
-
文献标志码:
AAdoi:10.3969/j.issn.16742869.2011.11.016
摘要:
为避免近场源参数估计中的搜索计算，提出了一种改进的RootMUSIC算法.该算法把阵列分成两个对称的子阵，并利用两个子阵信号子空间的广义旋转关系得到信号源角度的估计，然后利用估计出的角度和GESPRIT方法给出距离的估计.该方法在低信噪比下性能优越,能完成参数的自动匹配，且无需谱峰搜索计算复杂度低.仿真结果表明了此算法的有效性.
Abstract:
A RootMUSICbased algorithm for nearfield source parameter estimation is improved against the disadvantages of available spectral search computation.Firstly,the elevation angles of sources are estimated using the existing method based on the symmetric structure of array; and then substituting the estimated source elevation into the array manifold,the corresponding ranges are estimated by using the generalized ESPRIT (GESPRIT).This method results in automatically match of the parameters and is computationally efficient compared to spectral search methods.Simulation results show the effectiveness of this algorithm.

参考文献/References:

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