A source-synchronous filter for uncorrelated receiver traces from a swept-frequency seismic source
A source-synchronous filter for uncorrelated receiver traces from a swept-frequency seismic source
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DOI：
10.1190/geo2015-0324.1
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发表时间：
2016-07
期刊：
影响因子：
3.3
通讯作者：
N. Lord;Herbert F. Wang;D. Fratta
中科院分区：
文献类型：
--
作者：
N. Lord;Herbert F. Wang;D. Fratta
我们提出了一种新的算法，通过去除带外外部噪声源和由不必要的谐波引起的失真来降低从扫频源获得的信号中的噪声。该算法旨在调节非平稳信号，而传统的频域去噪方法对这些非平稳信号的去噪效果较差。源同步滤波器(SSF)是一种时变窄带滤波器，它始终与源信号的频率同步。由于滤波器的带宽需要考虑源到接收器的传播延迟和扫描速率，因此SSF在慢扫描速率和时差调整的波形中工作得最好，以补偿源到接收器的延迟。SSF算法被应用于在加州大学圣巴巴拉分校加纳山谷井下阵列现场进行现场测试时收集的数据。在现场，一台45kN的振动器安装在一层建筑的顶部，从0赫兹到10赫兹，然后往回扫.
ABSTRACTWe have developed a novel algorithm to reduce noise in signals obtained from swept-frequency sources by removing out-of-band external noise sources and distortion caused from unwanted harmonics. The algorithm is designed to condition nonstationary signals for which traditional frequency-domain methods for removing noise have been less effective. The source synchronous filter (SSF) is a time-varying narrow band filter, which is synchronized with the frequency of the source signal at all times. Because the bandwidth of the filter needs to account for the source-to-receiver propagation delay and the sweep rate, SSF works best with slow sweep rates and moveout-adjusted waveforms to compensate for source-receiver delays. The SSF algorithm was applied to data collected during a field test at the University of California Santa Barbara’s Garner Valley downhole array site in Southern California. At the site, a 45 kN shaker was mounted on top of a one-story structure and swept from 0 to 10 Hz and back over ...