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一种循环最大降维的二维波达方向建模与仿真

Modeling and Simulation of Two Dimension DOA Estimation by Cyclic Maximization Dimension Reduction
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摘要 基于常见的具有平移不变子阵的平面传感器阵列,在子阵传感器任意拓扑布署下,列堆栈两个子阵的接收数据,进而构造分块相关矩阵。提出一种循环最大信号子空间估计方法,利用得到的信号子空间对分块相关矩阵进行降维,处理降维后的分块矩阵,在低秩空间重构出阵列导向矢量矩阵,估计出空间目标的二维到达方向(DOA)。计算机仿真表明:所提算法在信噪比、采样数变化下对目标的定位精度均优于精典2D ESPRIT算法。 Based on the common planar sensor array with shift invariance subarrays, in the case of subarrays possess arbitrary topological structure, the received data of the subarrays were column stacked and the block correlation matrix was formed. A cyclic maximization method was proposed to estimate the signal subspace, the estimated signal subspace was then used to reduce the dimension of the block correlation matrix, and the steering vector matrix of sensor array was derived from the dimension reducing matrix, the two dimension direction of arrival (DOA) of spatial targets could be found from steering vector matrix. Simulation results show that the proposed algorithm possesses better location accuracy than the classical 2D ESPRIT algorithm.
出处 《系统仿真学报》 CAS CSCD 北大核心 2014年第12期2858-2862,共5页 Journal of System Simulation
基金 国家自然科学基金项目(61373177) 陕西省自然科学基金项目(2013JM8008) 陕西省科技厅专项科研计划(11JK0903)
关键词 目标定位 波达方向 导向矢量 传感器阵列 targets localization direction of arrival steering vector sensor array
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参考文献13

  • 1Harabi F, Changuel H, Gharsallah A. Estimation of 2-D direction of arrival with an extended correlation matrix [C]// Proceeding of the 4th Workshop on Positioning Navigation and Communication. Hannover, Germany: Shaker Publishing, 2007: 255-260.
  • 2Yah K, Wu Hsiaochun, Iyengar S S. Robustness Analysis and New Hybird Algorithm of Wideband Source Localization for Acoustic Sensor Networks [J]. IEEE Transactions on Wireless Communication (S1536-1276), 2010, 9(6): 2033-2043.
  • 3Chen F J, Kwong S, Kok C. Esprit-like two dimension DOA estimation for coherent signal [J]. IEEE Transactions on Aerospace and Electronic Systems (S0018-9251), 2010, 46(3): 1477-1484.
  • 4Tadaion A A, Derakhtian M, Gazor S, et al. A fast multiple-source detection and localization array signal processing algorithm using the spatial filtering and ML approach [J]. IEEE Transactions on Signal Processing (S1053-587X), 2007, 55(5): 1815-1827.
  • 5Selva J. Computation of spectral and root MUSIC through real polynomial rooting [J]. IEEE Transactions on Signal Processing (S1053-587X), 2005, 53(5): 1923-1927.
  • 6Paulraj A, Roy R, Kailath T. Estimating of signal parameters via rotational invariance techniques esprit [C]// Proceeding of 19th Asilomar Conference on Signal System and Computes. 1985: 83-89.
  • 7Rao D V B, Kung S Y. A state-space approach for the 2-D harmonic retrieval problem [C]// Proceedings of ICASSP, Adelaide, Australia, 1984: 4101-4104.
  • 8Hua Y. Estimating Two-dimension Frequencies by Matrix Enhancement and Matrix Pencil [J]. IEEE Transactions on Signal Processing (S1053-587X), 1992, 40(9): 2267-2280.
  • 9Rouquette S, Najim M. Estimation of frequencies and damping factors by two dimensional ESPRIT type methods [J] .IEEE Transactions on Signal Processing (S1053-587X), 2001, 49(1): 237-245.
  • 10Zhang X, Xu D. Angle estimation in MIMO radar using reduced dimension capon [J]. IET Electronics Letters (S0013-5194), 2010, 46(12): 660-661.

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