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首页> 外文期刊>The journal of ocean technology >Data Selection for Automatic of Multibeam Echo Sounder to Inertial Measurement Unit Boresight Angles
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Data Selection for Automatic of Multibeam Echo Sounder to Inertial Measurement Unit Boresight Angles

机译:自动选择多光束回声测深仪至惯性测量单元视轴的数据

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The automatic calibration method described in this essay provides an integrated framework for performing a reliable and objective estimation and assessment of lever-arms and boresight angles. This method, based on the estimation of calibration parameters through the resolution of observation equations, is able to deliver boresight and lever-arm estimates as well as their precision. The use of such a method should save a significant amount of survey time at sea, and will provide objective estimates of the calibration parameters precision. In this sense, the method incorporates the calibration procedure and the calibration report, for survey quality control purposes. The results of the automatic procedure may not be very different from those obtained from a patch test under very good conditions by experienced hydrographers. However, the automatic method's most significant added value is that it provides quality control parameters, i.e., the precision of the estimated boresight and lever-arm estimates. Automatic boresight calibration methods are like other calibration methods: sensitive to the data selection used for the estimation procedure. This essay focused on this problem and provided an appropriate method based on an observability criterion of the boresight effect on surface elements. The application of such data selection process is an important component of boresight calibration methods, which play a key role in reducing the size of the optimization problem of boresight estimation.
机译:本文中描述的自动校准方法为执行可靠,客观的杠杆臂和视轴角估计和评估提供了一个集成的框架。该方法基于通过观测方程的解析来估计校准参数的方法,能够提供瞄准镜和杠杆臂的估计值及其精度。这种方法的使用应节省大量的海上勘测时间,并将提供校准参数精度的客观估计。从这个意义上讲,该方法结合了校准程序和校准报告,以实现调查质量控制的目的。自动程序的结果可能与有经验的水文学家在非常好的条件下从补丁测试中获得的结果没有太大的不同。但是,自动方法最重要的附加值是它提供质量控制参数,即估计的视轴和杠杆估计的精度。自动视轴校准方法与其他校准方法一样:对用于估算程序的数据选择敏感。本文着眼于这个问题,并提供了一种基于视轴对表面元素影响的可观察性标准的合适方法。这种数据选择过程的应用是视轴校准方法的重要组成部分,它们在减小视轴估计优化问题的规模方面起着关键作用。

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