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New deghosting method based on generalized triangulation

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Journal of Systems Engineering and Electronics 2009年第3期20卷 504-511页

作者： Bai Jing Wang Guohong Xiu Jianjuan Wang Xiaobo Inst. of Information Fusion Naval Aeronautical and Astronautical Univ. Yantai 264001 P. R. China

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.

关键词： deghosting generalized triangulation hinge angle distributed radar network hypothesis testing

High-resolution frequency-domain Radon transform and variable-depth streamer data deghosting

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Applied Geophysics 2015年第4期12卷 564-572,629页

作者：宋建国宫云良李珊中国石油大学(华东)地球科学与技术学院青岛266580 中海油田服务股份有限公司天津300451

Receiver ghost reflections adversely affect variable-depth streamer （VDS） data acquisition. In addition, the frequency notches caused by the interference between receiver ghosts and primary waves strongly affect seismic data processing and imaging. We developed a high-resolution Radon transform algorithm and used it to predict receiver ghosts from VDS data. The receiver ghost reflections are subtracted and removed from the raw data. We propose a forward Radon transform operator of VDS data in the frequency domain and, based on the ray paths of the receiver ghosts, we propose an inverse Radon transform operator. We apply the proposed methodology to model and field data with good results. We use matching and subtracting modules of commercially available seismic data processing software to remove the receiver ghosts. The frequency notches are compensated and the effective frequency bandwidth of the seismic data broadens.

关键词： variable-depth streamer data deghosting Radon transform bandwidth

Simultaneous receiver-side deghosting and denoising method based on the sparsity constraint

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Applied Geophysics 2020年第3期17卷 411-418页

作者： Li Hong-Jian Yang Qin-Yong Cai Jie-Xiong Sinopec Geophysical Research Institute Nanjing China

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 *** paper presents a simultaneous receiver-side deghosting and denoising method based on the sparsity ***,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 ***,the ghost-free data are obtained using the sparse constraint algorithm that can effectively suppress the ghost along with the noise *** method can remove the ghost and noise simultaneously,achieving quick convergence and with few *** is applied to synthetic data and actual streamer fi eld *** results prove that the ghost and notches are suppressed eff ectively,the SNR is improved,and the band is well broadened.

关键词： Sparsity constraint deghosting denoising

A New deghosting Algorithm with Hypothesis Testing Data Fusion

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Journal of Systems Engineering and Electronics 2003年第2期14卷 14-19页

作者：唐小明何友王国宏 Department of Electronic Engineering Naval Aeronautical Engineering Institute Yantai 264001 P. R. China

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.

关键词： deghosting Hypothesis testing Decentralized decision fusion.