Passive Towed Array Shape Estimation Using Heading and Acoustic Data
Passive Towed Array Shape Estimation Using Heading and Acoustic Data
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DOI：
10.1109/joe.2014.2318531
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发表时间：
2015-04
影响因子：
4.1
通讯作者：
J. L. Odom;J. Krolik
中科院分区：
文献类型：
--
作者：
J. L. Odom;J. Krolik
本文解决了平台机动期间被动拖曳声纳系统的阵列形状估计问题。由于遥远的航道而产生的定向噪声场可以被用作在线阵列形状校准的机会来源。在本文中，使用非参数噪声场模型来形成时变阵列形状的场方向性图，以利用点和空间扩散源。该公式不需要已知或估计现场源的数量或位置。使用声学数据，导出最大似然阵列形状估计，其中形状被建模为航向中的多项式。此外，还介绍了一种将形状估计与航向传感器数据融合的方法。航向传感器可能会永久失效或在转弯时受到高水平噪音的影响；因此，声学数据可用于补偿转弯期间出现故障的航向传感器。使用动态模型对组合估计值进行过滤，该模型对于急转弯有效，并考虑了垂直于拖曳航向的阵列运动。多源模拟用于演示基于声学的估计的性能和组合估计的稳健性。
This paper addresses the problem of array shape estimation for passive towed sonar systems during platform maneuvers. Directional noise fields due to distant shipping lanes can be exploited as sources of opportunity for online array shape calibration. In this paper, a nonparametric noise field model is used to form field directionality maps for time-varying array shapes to exploit point and spatially spread sources. This formulation requires neither the number nor location of sources in the field to be known or estimated. Using acoustic data, a maximum-likelihood array shape estimate is derived where the shape is modeled as a polynomial in heading. Additionally, a method for fusing the shape estimate with heading sensor data is introduced. Heading sensors may permanently fail or suffer from high levels of noise during turns; thus acoustic data can be used to compensate for malfunctioning heading sensors during turns. The combined estimate is filtered using a dynamical model that is valid for sharp turns and accounts for motion of the array perpendicular to tow heading. Multisource simulations are used to demonstrate the performance of the acoustic-based estimate and robustness of the combined estimate.