拖车深度验证

M. Harris, W.E. Avera, L. Bibee
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引用次数: 0

摘要

NRL演示了从拖曳车辆中提取精确的单波束和多波束测深数据,该拖曳车辆设计用于定位水柱中的地雷。然而,在测量移动车辆静压深度时,会遇到偏差。水深是通过简单地将拖曳器深度(由压力传感器测量)与从海底通过声学测量的多波束范围相加来计算的。拖车测深与地面真实值的比较显示深度偏差浅。基于之前在无人半潜式ORCA上测量多波束测深的经验,人们怀疑该压力传感器。产生误差的原因有两个。首先是压力传感器校准;传感器在入水前需要“调零”。第二个更有趣的是,除了车辆深度的变化外,传感器还测量了车辆速度引起的压力变化。挑战在于测量移动车辆的静态深度。利用第一次水面反弹的声信号测量压力传感器偏差,并对压力传感器误差进行校正。本文介绍了用于补偿深度偏差的传感器、数据和技术。
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Tow vehicle depth verification
NRL demonstrated extraction of accurate single beam and multibeam bathymetry from a towed vehicle designed to locate mines in the water column. However, biases were encountered in measuring the static pressure depth of the moving vehicle. Water depth is calculated by simply adding tow vehicle depth, measured by a pressure sensor, to the multibeam ranges from the seafloor, measured acoustically from the vehicle. Comparisons of the tow vehicle bathymetry with ground truth showed a shallow bias in depth. The pressure sensor was suspected based on previous experience measuring multibeam bathymetry on the unmanned semi submersible ORCA. There were two contributing sources of error. The first was pressure sensor calibration; the sensor needs to be "zeroed" before entering the water. The second and more interesting was that the sensor was measuring variations in pressure caused from vehicle velocity in addition to changes in vehicle depth. The challenge is measuring static depth from a moving vehicle. The acoustic signal from the first water surface bounce was used to measure the bias and correct for pressure sensor error. This paper describes the sensors, data and techniques used to compensate for the depth bias.
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