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Angular misalignment calibration method for ultra-short baseline positioning system based on matrix decomposition

机译:基于矩阵分解的超短基线定位系统角偏差校准方法

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摘要

For an ultra-short baseline (USBL) positioning system, the angular misalignment between the acoustic array and attitude sensor will introduce overwhelming positioning errors. In order to eliminate this type of errors, a method to calibrate angular misalignment is proposed here. In the method, individual angular misalignment is estimated through the decomposition of the related rotating matrix and overall angular misalignment is calculated using an iterative estimator. Not only does the method determine the angular misalignment more accurately but also it can be applicable to any arbitrary trajectory even the pre-determined trajectory is distorted by the environmental forces (such as winds, currents). The estimation error of the method is analysed through a simulation with different types of trajectories. Its performance is also evaluated in a field experiment. The method is compared with an existing method using both simulated and field data. The simulation and field experiment results indicate that the method has better performance and does improve the positioning accuracy of a USBL system.
机译:对于超短基线(USBL)定位系统,声学阵列和姿态传感器之间的角度未对准会引入压倒性的定位误差。为了消除这种类型的误差,在此提出了一种校准角度不对准的方法。在该方法中,通过相关旋转矩阵的分解来估计单个角度未对准,并使用迭代估计器来计算总体角度未对准。该方法不仅可以更准确地确定角度未对准,而且即使预定的轨迹因环境力(例如风,流)而变形,它也可以适用于任何任意轨迹。通过对不同类型的轨迹进行仿真,分析了该方法的估计误差。其性能也在现场实验中进行了评估。该方法与使用模拟和现场数据的现有方法进行了比较。仿真和现场实验结果表明,该方法具有较好的性能,确实提高了USBL系统的定位精度。

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