基于卡尔曼滤波的海上地震勘探导航定位算法
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摘要
本文分析了海上地震勘探船的导航定位系统及数据同步采集的特点,提出利用卡尔曼滤波技术建立表征海上勘探船运动特性的数学模型,通过GPS设备输出的时间更新和位置测量更新,预测下一时段内勘探船定位网络的解,以此确定勘探船的位置及其与地震勘探设计航迹的相对关系等信息。在海上现场实际应用的效果表明,本文算法的预测结果与实测结果非常接近。
With the analysis to the characteristic of the navigation system and data synchronous acquisition on off-shore exploration vessel,the application of Kalman filtering technique in establishing the math model used to describe the dynamic characteristic of the vessel was proposed in this paper.Based on the model and the output refreshment of time and position from GPS equipment,the solution of positioning network for the vessel in the next time period was predicted and then the location of the vessel and its relative relation to the designed route of seismic exploration were determined.The realistic application on the off-shore acquisition showed that the prediction results from the algorithm are very close to the results actually measured.
引文
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