矢量水听器阵方位估计的最佳线性融合

王绪虎; 陈建峰; 安芹力

doi:10.11993/j.issn.1673-1948.2013.01.006

矢量水听器阵方位估计的最佳线性融合

doi: 10.11993/j.issn.1673-1948.2013.01.006

1.
西北工业大学航海学院, 陕西西安, 710072
2.
曲阜师范大学物理工程学院, 山东曲阜, 273165

基金项目: 国家自然基金(60972152), 山东省高等学校科技计划(J09lg07), 西北工业大学基础研究基金(JC20100223)

详细信息

作者简介:
王绪虎(1979-), 男, 在读博士, 讲师, 研究方向为阵列信号处理.

中图分类号: TJ630.34; TN911.7
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- 被引次数: 0
出版历程
- 收稿日期: 2012-05-17
- 修回日期: 2012-06-18
- 刊出日期: 2013-02-20

Optimum Linear Fusion for DOA Estimation with Vector Hydrophone Array

1.
College of Marine Engineering, Northwestern Polytechnical University, Xi′an 710072, China
2.
College of Physics and Engineering, Qufu Normal University, Qufu 273165, China

摘要

摘要: 为了改善矢量水听器方位估计的性能, 研究了基于ESPRIT算法的矢量阵方位估计问题, 分析了其基本原理, 推导了该算法方位估计方差的理论公式, 得出了矢量阵ESPRIT方法估计方差较大, 且估计性能受实际目标方位影响严重。针对该方法的不足, 提出了对独立估计出的目标方位进行最佳线性融合的处理方法, 该融合算法的估计方差不大于任何一个独立估计的方差。仿真结果表明, 最佳线性融合算法提高了矢量水听器阵的方位估计精度, 降低了估计性能随目标方位变化波动的程度。
- 矢量水听器 /
- ESPRIT算法 /
- 方位估计 /
- 线性融合
Abstract: To improve the direction of arrival (DOA) estimation performance of a vector hydrophone array, the estima-tion of signal parameters via rotational invariance technique (ESPRIT) of a vector hydrophone array is studied. Based on analysis of vector array ESPRIT, theoretical estimation covariance formulas of vector array ESPRIT method are deduced, which bring about large estimation covariance at certain target bearing. Consequently, an algorithm of optimum linear data fusion for independent DOA estimation is proposed. Simulation results show that the proposed fusion method im-proves the accuracy of DOA estimation via vector hydrophone array with smaller fluctuation of the estimation covari-ance following target bearing.
- vector hydrophone /
- estimation of signal parameters via rotational invariance technique(ESPRIT) algorithm /
- direction of arrival (DOA) estimation /
- linear fusion

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参考文献(11)

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