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Subsurface position system to track englacier and subglacier water flow through a glacier.

机译:地下定位系统可追踪冰川中冰川和冰川下的水流。

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A new Subsurface Positioning System (SPS) is proposed in order to study the englacial and subglacial water flow through a glacier. The proposed SPS consists of a beacon module that is carried by the flow of water and several receiver modules located on surface of the glacier. The receiver modules track the time of arrival (TOA) of received PN-coded beacon signal as the beacon module is carried through the glacier. A Kalman filter that contemplates the dynamics behavior of the beacon, the accumulated clock error and the TOA measurements by the receivers is proposed to compensate the error associate in the range measurements in order to achieve a smooth estimate of the trajectory. Simulations were conducted to evaluate the best possible accuracy of the estimation of the trajectory achievable with the proposed method. The simulation results indicate the proposed Kalman filter smoother method can estimate the position with an accuracy of 1m in the horizontal plane and within 3 m in the vertical plane.
机译:为了研究流经冰川的冰川和冰川下水,提出了一种新的地下定位系统(SPS)。提议的SPS包含一个信标模块(由水流携带)和几个位于冰川表面的接收器模块。当信标模块被运送通过冰川时,接收器模块会跟踪接收到的PN编码信标信号的到达时间(TOA)。提出了一种卡尔曼滤波器,该滤波器考虑了信标的动态行为,接收器的累积时钟误差和TOA测量结果,以补偿距离测量中的误差关联,从而实现轨迹的平滑估计。进行了仿真,以评估所提出方法可实现的最佳轨迹估计精度。仿真结果表明,所提出的卡尔曼滤波平滑器方法可以在水平面内估计精度为1m,在垂直平面内精度为3m的位置。

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