TY - JOUR
T1 - Seismic velocity and polarization estimation for wavefield separation
AU - Donno, Daniela
AU - Nehorai, Arye
AU - Spagnolini, Umberto
N1 - Funding Information:
Manuscript received October 22, 2007; revised April 15, 2008. First published June 20, 2008; current version published September 17, 2008. This work was supported in part by the MURI under Grant FA9550-05-1-0443 and the National Science Foundation under Grants CCR-0330342 and CCF-0630734. Part of this work was presented at the IEEE International Conference on Acoustic, Speech, and Signal Processing, May 15–19, 2006, Toulouse, France. The associated editor coordinating the review of this manuscript and approving it for publication was Dr. Shahram Shahbazpanahi.
PY - 2008
Y1 - 2008
N2 - We address the problem of estimating the shape parameters of seismic wavefields using linear arrays of three-component (3C) vector sensors with uncertain acquisition geometry. The goal is to separate the different seismic waves, which is of practical need for oil exploration and geophysics. We present a parametric model for multiple wideband polarized signals received by an array of three-component sensors with positional and rotational calibration errors, and derive the Cramér-Rao lower bounds on the performance of the model parameters for both the exact physical model and the model with uncertain acquisition geometry. We propose a method for jointly estimating the velocity and polarization parameters based on the shift-invariance properties of multiple wavefields impinging on the linear array. We then remove the interfering surface waves by using a beamforming filter designed to exploit the velocity and polarization diversity of the different seismic waves, after clustering of the shape-parameter estimates. Examples using simulated and experimental data illustrate the applicability of the proposed methodology.
AB - We address the problem of estimating the shape parameters of seismic wavefields using linear arrays of three-component (3C) vector sensors with uncertain acquisition geometry. The goal is to separate the different seismic waves, which is of practical need for oil exploration and geophysics. We present a parametric model for multiple wideband polarized signals received by an array of three-component sensors with positional and rotational calibration errors, and derive the Cramér-Rao lower bounds on the performance of the model parameters for both the exact physical model and the model with uncertain acquisition geometry. We propose a method for jointly estimating the velocity and polarization parameters based on the shift-invariance properties of multiple wavefields impinging on the linear array. We then remove the interfering surface waves by using a beamforming filter designed to exploit the velocity and polarization diversity of the different seismic waves, after clustering of the shape-parameter estimates. Examples using simulated and experimental data illustrate the applicability of the proposed methodology.
KW - Array signal processing
KW - Cramér-Rao bound
KW - Vector-sensor broadband beamforming
KW - Vector-sensor calibration errors
KW - Velocity/polarization estimation
UR - https://www.scopus.com/pages/publications/53149131353
U2 - 10.1109/TSP.2008.927459
DO - 10.1109/TSP.2008.927459
M3 - Article
AN - SCOPUS:53149131353
SN - 1053-587X
VL - 56
SP - 4794
EP - 4809
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 10 I
ER -