摘要
区域场与局部场的分离是区域重力场数据处理的一个重要方面。目前,在分离区域场与局部场中的"维纳滤波",是维纳滤波器在信号与干扰不相关条件下的一个特例。而所谓分离区域场与局部场的"匹配滤波",是维纳滤波器在信号与干扰同相位条件下的一个特例。关于卡尔曼滤波在应用地球物理领域的应用,目前还只限于地震数据处理中。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进行位场分离。结果表明,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。
The region field and the local field separation is a region gravitational field data processing important aspect. At present,in the separated region field and the local field ＂the Winner filter＂ ,is the Winner filter, in the signal with disturbs under the non-correlated condition an exceptional case ,but the so-called sepa- rated region field and the local field ＂the matched filtering＂, is the Winner filter in the signal and the disturbance with a phase condition under exceptional case. About the Kalman filtering in the applied geophysics domain＇s application,also is only restricted in at present the earthquake data processing. The Kalman filtering is studied to reign in the field material data processing application. In the wave number domain proposed that carries on the position field separation with Kalman filtering method,finally indicated that the effect is good, the compatibility is strong, not useful information and disturbance information relevance and phase whether same influence.
出处
《科学技术与工程》
2010年第2期394-399,共6页
Science Technology and Engineering
关键词
卡尔曼滤波
维纳滤波
匹配滤波
位场分离
Kalman filter Wiener filter matched filter separation of potential field
