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Dead reckoning through the water column with an acoustic Doppler current profiler: Field experiences

机译:使用声波多普勒电流剖面仪通过水柱进行航位推算:现场体验

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Underwater vehicles currently rely on external acoustic tracking systems to estimate position when away from the surface or the seafloor. Many vehicles dead reckon near the seafloor using a Doppler velocity log. This paper presents a method for dead reckoning through the water column using over-lapping water profiles measured by a vehicle-mounted acoustic Doppler current profiler. Under mild assumptions, the vehicle can simultaneously estimate its own global velocity at the same time as identifying the ocean current profile. The estimation problem is solved using batch least squares, recursive least squares, or a simple online depth bin averaging scheme. We discuss challenges encountered in implementing the approach during three field deployments of the autonomous underwater vehicle Sentry, and provide estimates of the ocean current, the vehicle velocity, and integrated position.
机译:当前,水下航行器依靠外部声学跟踪系统来估计远离水面或海底的位置。许多车辆使用多普勒速度测井仪在海底附近进行航位推算。本文提出了一种使用车载声学多普勒电流剖面仪测得的重叠水剖面通过水柱进行航位推算的方法。在温和的假设下,飞行器可以在识别洋流轮廓的同时,同时估计其自身的整体速度。使用批量最小二乘,递归最小二乘或简单的在线深度bin平均方案可以解决估计问题。我们讨论了在水下自动航行器Sentry的三个野外部署过程中实施该方法时遇到的挑战,并提供了洋流,车辆速度和综合位置的估计值。

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