【摘 要】
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High accurate prediction of polar motion has important significant and useful value for high‐precision space navigation and positioning.In this paper,the weigh
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High accurate prediction of polar motion has important significant and useful value for high‐precision space navigation and positioning.In this paper,the weighted least‐squares (LS) is proposed to use to predict different span of polar motion,as the cycles and trends have the characteristic of time‐varying in the observational data of polar motion.Autoregressive Moving Average (ARMA) can be applied to fit the residuals of polar motion as it can be regard as a smooth,zero‐mean sequence.The LS+AR model,the LS+ARMA model,the WLS+AR model and the WLS+ARMA model are used to predict the different span of polar motion,the results show that,the application of weighted least‐squares can improve the polar motion prediction accuracy effectively.And the WLS+ARMA model is equal to WLS+AR model,and in some days WLS+ARMA model is better than WLS+AR model.
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