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Measurement of Depth Using the Expendable Conductivity, Temperature and Depth Profiler Based on the Technique of Information Fusion

Two methods of depth measurement by the expendable temperature, conductivity and depth profiler are introduced in this paper. For their shortages, the measurement of pressure sensor and the theoretical calculations of depth were fused by the Kalman filtering algorithm. The depth measurement from the pressure sensor is corrected in real time. It is validated by the experiments that the algorithm can significantly improve the accuracy of depth measurement. The phenomenon of clutter and knotted in profile data of temperature and salinity due to fluctuation of depth data can be corrected as well.