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基于数据矩阵的信号频率和二维方向估计
引用本文:唐斌,肖先赐.基于数据矩阵的信号频率和二维方向估计[J].电子科技大学学报(社会科学版),1996(3).
作者姓名:唐斌  肖先赐
作者单位:电子科技大学电子工程系
摘    要:在低信噪比和短数据环境下,基于阵列接收数据空间自协方差和互协方差矩阵分解的信号频率和二维到达方向(方位角和仰角)联合估计的性能往往较差。通过数据矩阵的奇异值分解和其Frobenius范数的低秩近似,提出了一种性能改进的新的信号频率和二维到达方向联合估计方法。计算机模拟实验证实了其有效性。

关 键 词:数据矩阵,信号频率,信号处理,参数估计,阵列信号处理,奇异值分解

Estimation of Signal Frequency and 2-D Direction of Arrival Based on Data Matrix Singular Value Decomposition
Tang Bin, Xiao Xianci.Estimation of Signal Frequency and 2-D Direction of Arrival Based on Data Matrix Singular Value Decomposition[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),1996(3).
Authors:Tang Bin  Xiao Xianci
Abstract:The performance of estimating multiple spatial signal frequency and 2-D direction of arrival(azimuth and elevation) simultaneous based on auto-variance and cross-variance matrix is frequenty poorin low signal noise ratio and short data record environment. Making array received data matrix singularvalue decomposition (SVD) and its low rank approximation in Fronenius norm sense,this peper Proposes animproved approach estimating multiple spatisl signal frequeny and 2-D direction of arrival simultaneous.Computer simulation shows its availability.
Keywords:data matrix  signal frequency  signal Processing  parameter  estimation  arraysignal processing  singular valued decomposition  
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