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基于平行因子分析的信源四维参数联合估计

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摘要 提出了一种用于近场窄带信源频率、二维到达角及距离四维参数联合估计的新算法.该方法将通常在数据域和子空间域应用的平行因子分析模型扩展至高阶累积量域,利用计算的5个高阶累积量矩阵构造三面阵,分析了该三面阵低秩分解的唯一性,并从其分解得到的5个对角阵中联合估计信源参数.与现有方法相比,该算法有效减小了阵列的孔径损失,无须参数配对.此外,该算法还可用于远场和近场混合源的参数估计.仿真结果表明该算法是有效的.
作者 梁军利
机构地区 西安理工大学计算机科学与工程学院
出处 《科学通报》 EI CAS CSCD 北大核心 2008年第7期843-850,共8页 Chinese Science Bulletin
关键词 阵列信号处理 平行因子分析 三面阵
分类号 TN953 [电子电信—信号与信息处理]
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参考文献20

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二级参考文献27

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共引文献19

科学通报
2008年 第7期

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