A new deghosting method based on the generalized triangulation is presented. First, two intersection points corresponding to the emitter position are obtained by utilizing two azimuth angles and two elevation angles f...A new deghosting method based on the generalized triangulation is presented. First, two intersection points corresponding to the emitter position are obtained by utilizing two azimuth angles and two elevation angles from two jammed 3-D radars （or 2-D passive sensors）. Then, hypothesis testing based deghosting method in the multiple target scenarios is proposed using the two intersection points. In order to analyze the performance of the proposed method, the correct association probability of the true targets and the incorrect association probability of the ghost targets are defined. Finally, the Monte Carlo simulations are given for the proposed method compared with the hinge angle method in the cases of both two and three radars. The simulation results show that the proposed method has better performance than the hinge angle method in three radars case.展开更多
In marine seismic exploration,the sea surface ghost causes frequency notches and low-frequency loss,which aff ects the signal-to-noise ratio(SNR)and resolution of seismic records.This paper presents a simultaneous rec...In marine seismic exploration,the sea surface ghost causes frequency notches and low-frequency loss,which aff ects the signal-to-noise ratio(SNR)and resolution of seismic records.This paper presents a simultaneous receiver-side deghosting and denoising method based on the sparsity constraint.First,considering the influence of propagation direction and sea surface reflection coefficient,the ghost time delay is calculated accurately,and then the accurate ghost operator is constructed in the frequency–slowness domain.Finally,the ghost-free data are obtained using the sparse constraint algorithm that can effectively suppress the ghost along with the noise energy.This method can remove the ghost and noise simultaneously,achieving quick convergence and with few iterations.It is applied to synthetic data and actual streamer fi eld data.Test results prove that the ghost and notches are suppressed eff ectively,the SNR is improved,and the band is well broadened.展开更多
Eliminating the false intersection (deghosting) is a difficult problem in a passive cross location system. Using a decentralized decision fusion topology, a new deghosting algorithm derived from hypothesis testing the...Eliminating the false intersection (deghosting) is a difficult problem in a passive cross location system. Using a decentralized decision fusion topology, a new deghosting algorithm derived from hypothesis testing theory is developed. It uses the difference between ghosts and true targets in the statistical error, which occurs between their projection angles on a deghosting sensor and is measured from a deghosting sensor, and constructs a corresponding test statistic. Under the Gaussian assumption, ghosts and true targets are decided and discriminated by Chi-square distribution. Simulation results show the feasibility of the algorithm.展开更多
基金supported partly by the Foundation for the Author of National Excellent Doctoral Dissertation of China(200443)the National Natural Science Foundation of China(60541001)+1 种基金the Program for New Century Excellent Talents inUniversity(05-0912)the Foundation of Taishan Scholars.
文摘A new deghosting method based on the generalized triangulation is presented. First, two intersection points corresponding to the emitter position are obtained by utilizing two azimuth angles and two elevation angles from two jammed 3-D radars （or 2-D passive sensors）. Then, hypothesis testing based deghosting method in the multiple target scenarios is proposed using the two intersection points. In order to analyze the performance of the proposed method, the correct association probability of the true targets and the incorrect association probability of the ghost targets are defined. Finally, the Monte Carlo simulations are given for the proposed method compared with the hinge angle method in the cases of both two and three radars. The simulation results show that the proposed method has better performance than the hinge angle method in three radars case.
基金the National Natural Science Foundation of China Joint Fund for Enterprise Innovation and Development(No.U19B6003-04)。
文摘In marine seismic exploration,the sea surface ghost causes frequency notches and low-frequency loss,which aff ects the signal-to-noise ratio(SNR)and resolution of seismic records.This paper presents a simultaneous receiver-side deghosting and denoising method based on the sparsity constraint.First,considering the influence of propagation direction and sea surface reflection coefficient,the ghost time delay is calculated accurately,and then the accurate ghost operator is constructed in the frequency–slowness domain.Finally,the ghost-free data are obtained using the sparse constraint algorithm that can effectively suppress the ghost along with the noise energy.This method can remove the ghost and noise simultaneously,achieving quick convergence and with few iterations.It is applied to synthetic data and actual streamer fi eld data.Test results prove that the ghost and notches are suppressed eff ectively,the SNR is improved,and the band is well broadened.
文摘Eliminating the false intersection (deghosting) is a difficult problem in a passive cross location system. Using a decentralized decision fusion topology, a new deghosting algorithm derived from hypothesis testing theory is developed. It uses the difference between ghosts and true targets in the statistical error, which occurs between their projection angles on a deghosting sensor and is measured from a deghosting sensor, and constructs a corresponding test statistic. Under the Gaussian assumption, ghosts and true targets are decided and discriminated by Chi-square distribution. Simulation results show the feasibility of the algorithm.
