作者: Mirjam Snellen , Dick G. Simons , Martin Siderius , Jürgen Sellschopp , Peter L. Nielsen
DOI: 10.1121/1.1339828
关键词: Geology 、 Underwater acoustics 、 Speed of sound 、 Normal mode 、 Acoustics 、 Inversion (meteorology) 、 Sound transmission class 、 Global optimization 、 Inverse transform sampling 、 Estimation theory
摘要: In this article the accuracy of geo-acoustic and geometric parameter estimates obtained through matched field inversion (MFI) was assessed. Multi-frequency MFI applied to multi-tone data (200-600 Hz) received at a 2-km source/receiver range. The acoustic source fixed signals were vertical array. Simultaneously with transmissions, CTD (conductivity, temperature depth)-chain towed along track. A genetic algorithm used for global optimization, whereas normal mode model forward calculations. Acoustic consecutive times inverted stability parameters determined. Also, compared independent measurements, such as multi-channel seismic surveys (for parameters). uncertainty in results assumed have two distinct origins. first origin is method itself, since each optimization will come up some solution close exact optimum. Parameter coupling fact that hardly influence propagation further contribute uncertainty. second due oceanographic variability. Both contributions evaluated simulation. contribution variability synthetic inversions account actual sound speed variations measured by CTD-chain.