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脉冲性噪声中二维波达方向估计算法
引用本文:宋红军,尚秀芹,郑经波.脉冲性噪声中二维波达方向估计算法[J].电子科技大学学报(自然科学版),2011,40(6):844-848.
作者姓名:宋红军  尚秀芹  郑经波
作者单位:1.中国科学院电子学研究所 北京 海淀区 100190;
摘    要:介绍了Alpha稳定分布和其分数低阶矩(FLOM),设计了一种用于2-D波达方向(DOA)估计的阵列配置,并基于相控分数低阶矩(PFLOM)提出了2-D DOA算法.由接收信号的PFLOM协方差矩阵得到有用信号的PFLOM协方差矩阵,对其进行特征值分解,并利用最小二乘或总体最小二乘方法就可得到DOA.最后,比较了基于传...

关 键 词:Alpha稳定分布  DOA估计  旋转不变技术估计信号参数  分数低阶矩
收稿时间:2010-03-19

2-D Direction of Arrival Estimation Algorithm in Impulsive Noise
Affiliation:1.Institute of Electronics,Chinese Academy of Sciences Haidian Beijing 100190;2.Graduate University,Chinese Academy of Sciences Haidian Beijing 100039
Abstract:In this paper, the Alpha-stable distribution and its fractional low order statistics are introduced. An array configuration is devised and a new method based on phase fractional lower-order moment (PFLOM) is proposed for 2-D direction of arrival (DOA) estimation. PFLOM-based covariance matrix of the desired signal can be derived from that of the receive signal. Making use of eigenvalue decomposition and applying least square or total least square method, we can derive DOA. Finally, the ESPRIT methods based on classic covariance matrix, SCM, FLOM, and PFLOM are compared in this paper. Simulations show that the method has robust performance and the smaller bias and mean square errors.
Keywords:
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