Abstract
In order to solve the problem of noise interference and attitude shift of vector hydrophone due to the influence of natural factors during underwater detection, it is necessary to develop a new method to solve the problem. In this paper designs an orientation algorithm of single MEMS vector hydrophone based on polynomial fitting and real-time attitude compensation. It is proved that the algorithm will not change the stability of the system, and the time complexity is low. In order to verify the effect of this algorithm, this paper compares this algorithm with other signal denoising methods and attitude correction methods, and proves that this algorithm has smaller processing error. Finally, the underwater acoustic signal actually collected in the lake is used as the input signal to calculate, and the orientation error is less than 1, which verifies the feasibility and practicability of the algorithm.
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