节点文献
带乘性噪声系统的最优反褶积
Optimal Deconvolution for Systems with Multiplicative Noise
【摘要】 针对高分辨率石油地震勘探问题,研究一种带乘性噪声随机系统的最优反褶积估计方法。通过建立逆向运行的在线性最小方差意义下最优的状态滤波公式,推导出一种随机输入序列的单向最优固定域递推算法。该方法离线运算的存储最小,有助于提高地层反射序列提取的分辨率。
【Abstract】 In the light of seismic oil exploration problems with high resolution, an optimal deconvolution method for systems with multiplicative noise is presented in the sense of linear minimumvariance. We develop the deconvolution algorithm in two steps. First, an optimal fixedinterval smoother of reversetime is constructed based on the reversedtime state space model for the systems. Then a onepass optimal deconvolution algorithm is presented by means of the state smoother. This deconvolution algorithm can avoid high storage requirements, and the simulation results for seismic signal processing are satisfactory.
【Key words】 stochastic system; multiplicative noise; seismic channel model; linear minimumvariance; reversetime filter; deconvolution;
- 【文献出处】 青岛海洋大学学报 ,Journal of Ocean University of Qingdao , 编辑部邮箱 ,1998年01期
- 【分类号】P631.4
- 【被引频次】12
- 【下载频次】74