A New Multistage Filtering Method for Real-Time Tide Observation Method

The tide observation plays an important role in in the fields of marine disaster early warning, sea level change research, marine engineering design and so on. As the demand of intensive tide observation increases, the precision of the tide observation equipment without shaft style is a key problem limiting its further application. The paper proposes a new multistage filtering method by analyzing the characteristic of traditional tide well. The new method is composed of a digital limiting filtering algorithm, a moving average algorithm and an arithmetic average algorithm. The simulation of the new method is applied through MATLAB. Experiments are done in the tidal well after applying the method. The data are compared with the more precise float type water level gauge. The results prove that the method could effectively eliminate the adverse effects of wave and other interference factors and improve the measurement precision to 0. 01m.