地震信号去卷的一种自适应滤波方法
An Adaptive Filtering Approach for Deconvolution of Seismic Signals
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摘要: 本文讨论地震信号去卷问题,提出了一种新的自适应递推去卷滤波器,它由参数和信号估 计的两段Bootstrap算法组成.其优点是:1)同增广状态Kalman滤波[2,3]相比,显著地减小 了计算量;2)采用了虚拟噪声补偿技术,有效地克服了滤波的发散.仿真例子说明了方法有效 性.Abstract: This paper deals with the problems of deconvolution of seismic signals. An adaptive recursive deconvolution filter consisting of two-stage bootstrap algorithms for parameter and signal estimations is proposed. It has two advantages. (1) The amount of computation, compared with the augmented state Kalman filter [2, 5] , is considerably reduced. (2) The problem of divergence associated the bootstrap algorithms is effectively alleviated, due to a fictitious noise compensation technique used. Simulation example has shown the effectiveness of the proposed approach.
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Key words:
- Signal processing /
- deconvolution /
- adaptive filtering
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