摘要
本文研究了卡尔曼滤波在位场资料数据处理中的应用。在波数域中提出用卡尔曼滤波的方法分离重磁异常。通过多种理论模型的试算表明,效果较好,适应性较强,不受有用信息与干扰信息的相关性及相位是否相同的影响。
application of Kalman filtering theory to potential field data processing is studied. In the spectral domain, the method of Kalman filtering theory is recommended in regional-residual separation of gravity or magnetic anomalies. The results obtained from the computation on various theoretical models show that the mefhod has stronger suitability and better adaptability, and is effective and less effected by the correlation and different phases of regional-residual component.
出处
《物探化探计算技术》
CAS
CSCD
1991年第3期220-228,共9页
Computing Techniques For Geophysical and Geochemical Exploration
