自适应形态小波滤波在重力仪信号处理中的应用
daptive morphological wavelet filter Used in Gravitational Signal Processing
为了消除重力测量信号中的强噪声,在分析形态滤波和自适应小波滤波算法的基础上,将一种自适应形态小波滤波算法应用于高精度重力仪信号处理中。该算法首先利用线性组合形态学滤波器去除脉冲干扰信号,然后对处理后无脉冲干扰的信号送入小波自适应滤波器,选取合适的阈值对其进行二次滤波去噪,最后得到无噪声的重力测量信号。仿真试验结果表明,该算法性能优于传统小波滤波算法,是一种有效的重力仪信号去噪算法。
In order to suppress the strong noise, an adaptive morphological wavelet filter algorithm based on the morphological wavelet algorithm is applied in the precise gravimeter signal processing. The preliminary work of the algorithm is to remove impulse signals of gravimeter signals with morphology filter. Then an adaptive thresh of wavelet transform filter it again. Finally, the reconstructed gravimeter signals without noise is obtained.Results of emulations show that the de-noising performance of the adaptive morphological wavelet filter algorithm are better than those of the classical wavelet filter algorithm.
李宏生、赵立业
地球物理学测绘学
精密仪器重力仪信号处理形态滤波小波滤波自适应滤波
Precision instrumentsgravimetersignal processingmorphological filterwavelet transform filteradaptive filter
李宏生,赵立业.自适应形态小波滤波在重力仪信号处理中的应用[EB/OL].(2011-12-09)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201112-232.点此复制
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