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Ship motion, with six degrees of freedom, is a complex stochastic process. Sea wind and waves are the primary influencing factors. Prediction of ship motion is significant for ship navigation. To eliminate errors, a path prediction model incorporating ship pitching was developed using the Gray topological method, after analyzing ship pitching motions. With the help of simple introduction to Gray system theory, we selected a group of threshold values. Based on an analysis of ship pitch angle sequences over 40 second intervals, a Grey metabolism GM(1,1) model was established according to the time-series which every threshold corresponded to. Forecasting future ship motion with the GM (1,1) model allowed drawing of the forecast curve with effective forecasting points. The precision of the test results show that the model is accurate, and the forecast results are reliable. 相似文献
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针对峡谷河段的不同卫星组合下网络实时动态(RTK)测试较少的情况,对三峡大坝至葛洲坝两坝间峡谷河段BDS/GPS/GLONASS组合下的流动站定位性能和精度进行测试。采取6种观测模式,测试内容为定位服务时效性、空间可用性和定位精度。结果表明,国产GNSS设备BDS网络RTK达到规范要求,固定解比例为98.1%,可以达到水平0.02 m、高程0.05 m的定位精度,一定程度上优于GPS。BDS和BDS/GLONASS双系统2种网络RTK在缺失或不使用GPS信号时,依然可提供高精度定位服务。组合定位能够弥补单一系统的不足,融合系统较各单系统均有不同程度的提高,BDS/GPS/GLONASS和BDS/GPS在定位服务时效性、空间可用性测试和定位精度方面均最优。 相似文献