多模型卡尔曼滤波在地磁场航海测量中的应用  

Application of multi-model Kalman filtering in surveying marine geomagnetic field

作　　者：闫辉[1] 肖昌汉[1] 苏广东[1] 

机构地区：[1]海军工程大学电气与信息工程学院,武汉430033

出　　处：《测绘科学》2010年第1期41-43,共3页Science of Surveying and Mapping

摘　　要：由于卡尔曼滤波对模型精度有很强的依赖性,因此实际的地磁场测量系统中,宜采用多模型自适应卡尔曼滤波,以提高状态估计的准确度。针对并行子滤波器间的数据融合问题,提出了"距离"意义下的数据融合新算法,应用结果表明算法具有实用性。探讨了通过检验并行子滤波器状态估计一致性的模型误差识别方法,并将其应用于监测地磁场测量系统中船舶磁化参数的变化。In practice, multi-model Kalman filter is suitable for shipboard three-component geomagnetic measurement system because Kalman filtering depends too much on the accuracy of state-space model. A novel data fusion algorithm for the states of the parallel filters is introduced based on the meaning of distance. The application shows the efficiency of the algorithm. A method to identify state-space model errors is discussed by judging the uniformity of the state estimation, which can be used to monitor the changing of ship＇s magnetic susceptibility.

关 键 词：卡尔曼滤波 地磁场测量 数据融合算法 模型误差识别 

分 类 号：P229[天文地球—大地测量学与测量工程]