维纳滤波技术及其在新疆地区重力场划分中的应用

基于维纳滤波原理,应用多层格林等效层模型模拟实测重力场的径向对数功率谱,采用改进的格拉姆-施密特正交化方法计算功率谱密度函数,确保了数值的稳定性,得到了较为满意的结果。通过理论模型实验,证实了利用维纳滤波方法提取深部场时可以保证低频成分不衰减的功能,能够较为精确地提取区域异常,从而实现频率域中位场的分离。运用维纳滤波方法对新疆地区布格重力异常进行了分离处理,获得了基于最佳滤波原理计算的新疆地区区域重力异常,并根据新疆地区布格异常和区域场特征,划分了9条深大断裂和5个一级构造单元。

Wiener Filtering Technology and Its Application in Gravity Field Separation in Xinjiang Region

Based on Wiener filtering principle,Green's equivalent multilayer model is used to simulate radial log-power spectrum,and gram-schmidt orthogonal decomposition is applied to calculate the power spectrum density function of measured gravity data.These methods guarantee the numerical stability during processing.The results from theoretical model show that with the help of Wiener filtering technique,the low frequency parts of separated deep fields will not decay.Thus a accurate regional field can be extracted,implementing the separation of potential field in frequency domain.The method is also applied to the Bouguer anomaly in Xinjiang,and after separated regional field calculated by optimum filter principle,9 deep faults and 5 first-class structure units are recognized.