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  1. (1. 中国船舶重工集团公司第705研究所, 陕西 西安 710075;2. 水下信息处理与控制国家重点实验室, 陕西 西安 710075;3. 西安电子科技大学 计算机学院,陕西 西安 710071)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-20 发布日期:2007-10-25

New parameter estimation algorithm for near-field sources

LIANG Jun-li1,2;JI Bang-jie1,2;ZHAO Feng3;ZHANG Jun-ying3

  1. (1. The 705th Research Inst., China Shipbuilding Industry Corporation, Xi′an 710075, China;2. National Key Lab. for Underwater Information Process and Control, Xi′an 710075, China;3. School of Computer Science and Technology, Xidian Univ., Xi′an 710071, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-25

摘要: 提出了一种基于子空间的近场窄带信源频率、到达角及距离三维参数联合估计新方法.该方法选择特定序号阵元输出计算的4阶累积量构造4个高维矩阵,然后结合这些矩阵结构特点构造3个新的矩阵,利用新构造矩阵的特征值联合估计信源参数.与现有基于高阶累积量的方法相比,这种方法有效地减小了阵列孔径损失,从而具有较高的估计精度.

关键词: 阵列信号处理, 近场源, 定位, 高阶累积量, 子空间

Abstract: This paper proposes a new subspace-based algorithm to jointly estimate the frequencies, directions of arrival (DOAs), and ranges of multiple near-field narrow-band sources. Firstly, the proposed method constructs four cumulant matrices by virtue of the fourth-order cumulants of some properly chosen sensor outputs; secondly, by using the above-mentioned four matrices, it forms three new ones, from whose eigenvalues the source parameters can be easily obtained. In comparison with some available cumulant-based methods, the proposed algorithm can make efficient use of the array aperture, and thus has a higher estimation accuracy. Simulation results also show that the proposed method is of such performance.

Key words: array signal processing, near-field source, localization, cumulant, subspace


  • TN911.23