| 赵建昕,孙芹东,侯文姝.单深度传感器的矢量拖曳阵阵形估计[J].,2017,36(3):249-257 |
| 单深度传感器的矢量拖曳阵阵形估计 |
| Shape estimation of vector towed array with single depth sensor |
| 投稿时间：2016-07-21 修订日期：2017-04-23 |
| 中文摘要: |
| 在二维平面内，利用矢量拖曳阵的姿态数据和一个深度传感器的深度数据，研究了矢量拖曳阵的阵形估计问题。通过研究姿态数据中的姿态角与水听器所在阵位置上切线方向数的关系，在阵形为抛物形的假设下，利用最小二乘法建立了一个等式约束的非线性优化模型，并通过参数转化方法，给出了该模型的解析算法。数值仿真结果表明：利用一个深度传感器的深度数据和若干水听器的姿态数据可以进行拖曳阵的阵形估计；对于同样的阵元数，随着姿态数据误差的增大，阵形估计的误差增大；对于同一姿态数据误差分布，随着阵元数的增加，阵形估计的误差减少。 |
| 英文摘要: |
| The shape estimation of vector towed array is investigated by using attitude data and the depth data of a single sensor in 2-dimensional domain. By researching the relationship between the attitude angle data and the directional derivative of tangent line on one hydrophone position of the array, a nonlinear model with equal constrains is established by least squared method under the condition which the array shape is parabola, and by using parameter transform, the analytic algorithm of the model is presented. The related numerical simulations demonstrate that: the shape estimation of towed array can be obtained by using depth data of single sensor and attitude data of some hydrophones； under the same numbers of hydrophone, the larger the error of attitude data, the larger the error of array estimation； for the identical distribution of the error of attitude data, the more the number of hydrophone, the less the error of shape estimation. |
| DOI：10.11684/j.issn.1000-310X.2017.03.009 |
| 中文关键词: 单深度传感器，阵形估计，最小二乘法 |
| 英文关键词: Single depth sensor,Shape estimation,Least squared method |
| 基金项目: |
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