| 矢量水听器垂直阵列数据融合高分辨方位估计算法 |
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| 引用本文： | 陈羽,孟洲,马树青,包长春.矢量水听器垂直阵列数据融合高分辨方位估计算法[J].声学学报,2015,40(6):807-815. |
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| 作者姓名： | 陈羽 孟洲 马树青 包长春 |
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| 作者单位： | 国防科技大学 海洋科学与工程研究院 长沙 410073 |
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| 摘 要： | 为了实现矢量水听器垂直阵列对目标的高分辨方位估计,提出了基于MUSIC子频带最优加权数据融合方法。该方法采用MUSIC算法对划分的各窄带信号进行方位估计,并在各子频带对多基元方位估计结果进行最优加权最小二乘融合处理,最后通过加权直方图统计法得到最终方位估计结果。对算法进行的仿真及海上试验数据处理结果表明:本文算法在方位估计精度、方位估计正确概率、多目标分辨以及对噪声子频带的抑制能力方面都优于单个基元MUSIC以及多基元复声强器融合算法。
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| 收稿时间： | 2014-05-19 |
High-resolution azimuth estimation algorithm based on data fusion for the vector hydrophone vertical array |
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| Affiliation: | Academy of Ocean Science and Engineering, National University of Defense Technology Changsha 410073 |
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| Abstract: | To improve the performance of the high-resolution azimuth estimation for the vector hydrophone vertical array, the data fusion algorithm of the optimal weighted in the sub-band based on MUSIC was presented. The proposed algorithm first employ MUSIC technique to estimate the azimuth of each narrow band signal, and then the azimuth estimation results of multiple hydrophones are fusion processed by using the least square and optimal weighted methods. The final estimated result is achieved by adopting the weighted histogram statistics method. The results of the simulation and sea trials indicated that the proposed algorithm has better azimuth estimation performance than MUSIC algorithm of a single vector hydrophone and the data fusion technique based on the acoustic energy flux method. The better performance is reflected in the aspects of the estimation precision, the probability of correct estimation, the capability to distinguish multi-objects and the inhibition of the noise sub-bands. |
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